2777 lines
2.0 MiB
2777 lines
2.0 MiB
2024-05-23 20:34:03,718 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/3
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2024-05-23 20:34:03,718 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/3
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2024-05-23 20:35:05,985 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/3
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2024-05-23 20:35:05,985 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/3
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2024-05-23 20:39:39,738 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/3
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2024-05-23 20:39:39,738 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/3
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2024-05-23 21:04:32,022 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:04:32,022 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:10:57,856 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-23 21:10:57,866 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:10:57,866 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:12:19,903 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-23 21:12:19,912 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:12:19,912 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:18:45,443 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-23 21:18:45,452 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:18:45,452 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:19:51,539 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-23 21:19:51,547 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:19:51,547 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:21:03,324 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-23 21:21:03,333 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-23 21:21:03,333 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-23 21:22:00,581 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-23 21:22:00,584 [DEBUG] eveai_chat_workers: Received question for tenant 1: test. Processing...Hello from the other side
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2024-05-24 15:34:13,748 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 15:34:13,757 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 15:34:13,757 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 15:38:13,902 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 15:38:13,911 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 15:38:13,911 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 15:38:31,602 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 15:38:31,605 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: Test. Processing...
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2024-05-24 15:38:31,729 [ERROR] eveai_chat_workers: ask_question: Error processing question: 1 validation error for ChatOpenAI
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temperature
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none is not an allowed value (type=type_error.none.not_allowed)
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2024-05-24 15:42:03,749 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 15:42:03,759 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 15:42:03,759 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 15:42:38,575 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 15:42:38,578 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: test. Processing...
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2024-05-24 15:42:38,670 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embeddings_model'
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2024-05-24 15:44:49,642 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 15:44:49,651 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 15:44:49,651 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 15:45:15,661 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 15:45:15,664 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: Check it out. Processing...
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2024-05-24 15:45:15,786 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embedding_model'
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2024-05-24 15:47:21,527 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 15:47:21,536 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 15:47:21,537 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 15:47:55,344 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 15:47:55,348 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: Test IT. Processing...
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2024-05-24 15:47:57,954 [ERROR] eveai_chat_workers: ask_question: Error processing question: Error searching embeddings (SQLAlchemy): (builtins.TypeError) object of type 'float' has no len()
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[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id
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WHERE (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
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LIMIT %s::INTEGER]
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[parameters: [{}]]
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2024-05-24 16:17:37,988 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 16:17:37,997 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 16:17:37,997 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 16:17:53,880 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 16:17:53,885 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: test. Processing...
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2024-05-24 16:17:54,473 [DEBUG] eveai_chat_workers: In search_embeddings searching for -0.009819943422542486
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2024-05-24 16:17:54,482 [ERROR] eveai_chat_workers: ask_question: Error processing question: Error searching embeddings (SQLAlchemy): (builtins.TypeError) object of type 'float' has no len()
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[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id
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WHERE (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
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LIMIT %s::INTEGER]
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[parameters: [{}]]
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2024-05-24 16:57:45,058 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-24 16:57:45,067 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-24 16:57:45,067 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-05-24 16:58:14,498 [DEBUG] eveai_chat_workers: In ask_question
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2024-05-24 16:58:14,500 [DEBUG] eveai_chat_workers: ask_question: Received question for tenant 1: test. Processing...
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2024-05-24 16:58:15,162 [DEBUG] eveai_chat_workers: In search_embeddings searching for [-0.011112781289478455, 0.012181746825975767, -0.00388984476962956, -0.05315131344479741, 0.0006198512300581979, -0.014824464981138033, -0.0004996854134972111, 0.03833426924196593, -0.02133475812042958, -0.04750955497853292, -0.0001237614638621914, 0.013028009850857378, -0.004981079625965864, -0.013235864286601928, 0.024779200660795475, -0.033019140505189414, -0.0017853198882845475, -0.01235990697262317, 0.006799805007408089, 0.0509836899453508, -0.010934620211508473, 0.027139831451438064, 0.015099129704706003, -0.002961923613884021, -0.010771306278087063, 0.014438450398746082, -0.03604787231142105, -0.00940540716384408, 0.025254296247833707, -0.020265793515254846, 0.004246166459908235, -0.03334576650938707, 0.012946353349807963, -0.04317430797963969, 0.06479115067062122, 0.041184842764195324, 0.009590990882765769, 0.024853434520893183, -0.022552190445799727, 0.004984791412103007, -0.005144394025048562, 0.007675762321386846, 0.02752584789647517, -0.003307110411412555, 0.042936757392152844, -0.007453061206755014, -0.06550379870779145, -0.02700621087579122, -0.02572939183487194, 0.012805309201886834, 0.02908475523323671, -0.0026668447650536973, -0.05172602482103756, 0.10553059772481092, -0.012627148123916854, -0.005712281471547639, -0.021824700852016383, 0.03408810511036414, 0.05520016351314576, -0.01460176433216749, -0.0036151800460615907, -0.056061271819930786, -0.003982636629090405, -0.01961253778156921, 0.001133919465590872, 0.0006569680436917292, -0.033464539940485344, 0.04023465159011886, -0.01766761586241572, -0.005259456135670977, -0.0521714279816238, 0.002928518469972311, -0.05318100773389456, -0.021082364113684467, 0.053270086875895684, 0.03284097849589685, -0.07726240936471353, 0.011795731312261236, 0.03114845058348847, -0.03370209052797219, 0.04629212265316277, 0.024022018640560142, -0.030584273991803957, -0.013748076803689013, -0.03723561407298437, 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2024-05-24 16:58:15,209 [DEBUG] eveai_chat_workers: Results from embedding search: []
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2024-05-28 07:46:00,367 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-05-28 07:46:00,376 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-05-28 07:46:00,376 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-04 13:10:45,514 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-04 13:10:45,523 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-04 13:10:45,523 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-04 14:06:41,712 [DEBUG] eveai_chat_workers: In ask_question
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2024-06-04 14:06:41,713 [INFO] eveai_chat_workers: ask_question: Received question for tenant 1: Hello babe!. Processing...
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2024-06-04 14:06:41,928 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embedding'
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2024-06-04 15:12:00,605 [DEBUG] eveai_chat_workers: In ask_question
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||
2024-06-04 15:12:00,607 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Hello beasty boys. Processing...
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2024-06-04 15:12:00,673 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embedding'
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2024-06-04 15:16:08,567 [DEBUG] eveai_chat_workers: In ask_question
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||
2024-06-04 15:16:08,568 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Hello babes!. Processing...
|
||
2024-06-04 15:16:08,621 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embedding'
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||
2024-06-04 15:16:34,339 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
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2024-06-04 15:16:34,349 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-04 15:16:34,349 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-04 15:17:02,426 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-04 15:17:02,428 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
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2024-06-04 15:17:06,635 [DEBUG] eveai_chat_workers: In search_embeddings searching for [0.03008637975547565, 0.023878822691611047, 0.010052188694532891, 0.05078343776088517, 0.00022603289356869374, -0.0066949605163301226, 0.012329332803926403, -0.009748049491537342, -0.0274817016212606, -0.018014394648247768, 0.01008338241118256, 0.03930413513264607, -0.07636232266651588, -0.019683261282972705, 0.03418835815151993, 0.00018996511503676898, 0.016173963503272163, -0.0010108727189545102, -0.029743248872329278, 0.030367123205322685, -0.04909897706180297, 0.00784133146585056, -0.04619795582544847, -0.00030316434114258865, -0.004601079259422792, -0.027044989588165213, -0.006843130670416057, -0.011073784311793382, 0.0033026391740658446, 0.013233952449411893, 0.039054585399448706, -0.04173724875661046, 0.033408517097923224, -0.03278463903963971, -0.027263345604712906, 0.021960406323688744, -0.009740251528036186, 0.021367723844699957, -0.011042590595143712, 0.01577624408165013, 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2024-06-04 15:17:06,658 [DEBUG] eveai_chat_workers: Results from embedding search: []
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2024-06-04 15:25:27,165 [DEBUG] eveai_chat_workers: In ask_question
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2024-06-04 15:25:27,166 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
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2024-06-04 15:25:28,109 [DEBUG] eveai_chat_workers: In search_embeddings searching for [0.03008637975547565, 0.023878822691611047, 0.010052188694532891, 0.05078343776088517, 0.00022603289356869374, -0.0066949605163301226, 0.012329332803926403, -0.009748049491537342, -0.0274817016212606, -0.018014394648247768, 0.01008338241118256, 0.03930413513264607, -0.07636232266651588, -0.019683261282972705, 0.03418835815151993, 0.00018996511503676898, 0.016173963503272163, -0.0010108727189545102, -0.029743248872329278, 0.030367123205322685, -0.04909897706180297, 0.00784133146585056, -0.04619795582544847, -0.00030316434114258865, -0.004601079259422792, -0.027044989588165213, -0.006843130670416057, -0.011073784311793382, 0.0033026391740658446, 0.013233952449411893, 0.039054585399448706, -0.04173724875661046, 0.033408517097923224, -0.03278463903963971, -0.027263345604712906, 0.021960406323688744, -0.009740251528036186, 0.021367723844699957, -0.011042590595143712, 0.01577624408165013, 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2024-06-04 15:25:28,127 [DEBUG] eveai_chat_workers: Results from embedding search: []
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2024-06-04 15:26:48,735 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-04 15:26:48,744 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-04 15:26:48,745 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-04 15:27:06,503 [DEBUG] eveai_chat_workers: In ask_question
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2024-06-04 15:27:06,504 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
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2024-06-04 15:27:07,861 [DEBUG] eveai_chat_workers: In search_embeddings searching for [0.03008637975547565, 0.023878822691611047, 0.010052188694532891, 0.05078343776088517, 0.00022603289356869374, -0.0066949605163301226, 0.012329332803926403, -0.009748049491537342, -0.0274817016212606, -0.018014394648247768, 0.01008338241118256, 0.03930413513264607, -0.07636232266651588, -0.019683261282972705, 0.03418835815151993, 0.00018996511503676898, 0.016173963503272163, -0.0010108727189545102, -0.029743248872329278, 0.030367123205322685, -0.04909897706180297, 0.00784133146585056, -0.04619795582544847, -0.00030316434114258865, -0.004601079259422792, -0.027044989588165213, -0.006843130670416057, -0.011073784311793382, 0.0033026391740658446, 0.013233952449411893, 0.039054585399448706, -0.04173724875661046, 0.033408517097923224, -0.03278463903963971, -0.027263345604712906, 0.021960406323688744, -0.009740251528036186, 0.021367723844699957, -0.011042590595143712, 0.01577624408165013, 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2024-06-04 15:27:07,894 [DEBUG] eveai_chat_workers: Results from embedding search: [(<EmbeddingSmallOpenAI 6>, 0.8010708125679293), (<EmbeddingSmallOpenAI 1>, 0.8012251381852014), (<EmbeddingSmallOpenAI 2>, 0.8178010825399249), (<EmbeddingSmallOpenAI 7>, 0.821172152231461), (<EmbeddingSmallOpenAI 10>, 0.82530805755565)]
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2024-06-04 15:27:07,895 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'list' object has no attribute 'chunk'
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2024-06-04 15:35:53,137 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-04 15:35:53,147 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-04 15:35:53,147 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-04 15:36:12,345 [DEBUG] eveai_chat_workers: In ask_question
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2024-06-04 15:36:12,346 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the typical services offered by ae?. Processing...
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2024-06-04 15:36:13,567 [DEBUG] eveai_chat_workers: In search_embeddings searching for [0.030114090451057316, 0.023860464174375404, 0.009988645218004466, 0.05080875446098004, 0.00020760944142920733, -0.006678591101160993, 0.01238248978572242, -0.009793707293478105, -0.0274785220373628, -0.01799671747203656, 0.010097811126291491, 0.039361969134422886, -0.07635348386788515, -0.019743364554048265, 0.034184404149934254, 0.0001732515396812541, 0.016218878533961277, -0.0009698187472972928, -0.029677428680554393, 0.030363610398404604, -0.04906210737896834, 0.007828727463569767, -0.046130233096476334, -0.0002899709252533302, -0.004588850831917719, -0.027057454332246492, -0.0068462380142768915, -0.011095895572293572, 0.0033120040735087402, 0.013271409254760063, 0.03917482917391242, -0.04173241981009315, 0.033435840582602044, -0.032843228845007066, -0.027260192083433922, 0.021989055256044887, -0.009715731378609491, 0.021365253525031495, -0.011041313549472647, 0.01582900082226338, 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|
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2024-06-04 15:36:13,600 [DEBUG] eveai_chat_workers: Results from embedding search: [(<EmbeddingSmallOpenAI 6>, 0.8011578152304449), (<EmbeddingSmallOpenAI 1>, 0.8013119919481182), (<EmbeddingSmallOpenAI 2>, 0.8178807047028299), (<EmbeddingSmallOpenAI 7>, 0.8212505843866719), (<EmbeddingSmallOpenAI 10>, 0.8253769108173254)]
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2024-06-05 15:02:22,497 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-05 15:02:22,506 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-05 15:02:22,506 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-05 15:03:42,987 [DEBUG] eveai_chat_workers: In ask_question
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2024-06-05 15:03:42,988 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
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||
2024-06-05 15:03:43,215 [ERROR] eveai_chat_workers: ask_question: Error processing question: "EveAIRetriever" object has no field "model_variables"
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||
2024-06-05 15:16:17,954 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 15:16:17,963 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 15:16:17,963 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 15:16:42,972 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 15:16:42,973 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-05 15:16:43,170 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10d7af9b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10d7af260>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10dd68230>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10dd69b80>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 15:16:43,171 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 15:16:43,171 [ERROR] eveai_chat_workers: ask_question: Error processing question: "EveAIRetriever" object has no field "model_variables"
|
||
2024-06-05 15:36:48,630 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 15:36:48,639 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 15:36:48,639 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 15:37:12,414 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 15:37:12,415 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-05 15:37:12,628 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x115fb3200>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x115fb2ed0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x116047ce0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1160696a0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 15:37:12,628 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 15:37:12,628 [ERROR] eveai_chat_workers: ask_question: Error processing question: "EveAIRetriever" object has no field "model_variables"
|
||
2024-06-05 15:46:39,634 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 15:46:39,643 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 15:46:39,643 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 15:47:05,797 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 15:47:05,798 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-05 15:47:06,023 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10f6b3b90>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10f6b3440>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11906c2f0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11906dca0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 15:47:06,024 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 15:47:06,024 [ERROR] eveai_chat_workers: ask_question: Error processing question: "EveAIRetriever" object has no field "model_variables"
|
||
2024-06-05 16:02:16,861 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 16:02:16,873 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 16:02:16,873 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 16:02:55,292 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 16:02:55,301 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 16:02:55,301 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 16:04:55,431 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 16:04:55,439 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 16:04:55,439 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 16:06:52,249 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 16:06:52,258 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 16:06:52,258 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 16:07:12,447 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 16:07:12,449 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-05 16:07:12,662 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x117d48470>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1161afd10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x117d5cb90>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x117d5e4e0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 16:07:12,662 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 16:07:12,663 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-05 16:07:12,664 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services are offered by ae?
|
||
2024-06-05 16:07:12,665 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'OpenAIEmbeddings' object has no attribute 'encode'
|
||
2024-06-05 16:09:45,723 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-05 16:09:45,731 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-05 16:09:45,732 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-05 16:10:05,372 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 16:10:05,373 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-05 16:10:05,590 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11e9486b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10ffaff80>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11e960e30>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11e962810>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 16:10:05,591 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 16:10:05,591 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-05 16:10:05,593 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services are offered by ae?
|
||
2024-06-05 17:35:44,624 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-05 17:35:44,625 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What events are planned in the near future?. Processing...
|
||
2024-06-05 17:35:44,678 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10ffaf530>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11e9b5550>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13edfb9e0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13edfb830>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': ChatPromptTemplate(input_variables=['text'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['text'], template='Write a concise summary of the text in the same language as the provided text. \n Text is delimited between triple backquotes.\n ```{text}```'))]), 'rag_prompt': ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template='Answer the question based on the following context, both delimited between triple backquotes\n in the same language as question. \n If the question cannot be answered using the text, say "I don\'t know" in the same language as the question.\n Context:\n ```{context}```\n Question:\n ```{question}```'))])}
|
||
2024-06-05 17:35:44,679 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-05 17:35:44,679 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-05 17:35:44,680 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What events are planned in the near future?
|
||
2024-06-10 10:52:20,660 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-10 10:52:20,670 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-10 10:52:20,670 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-10 10:53:01,923 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 10:53:01,924 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 10:53:02,142 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10b653d10>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10bc85400>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10bca4680>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10bca6210>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_prompt': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_prompt': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "My information is insufficient to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 10:53:02,143 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 10:53:02,143 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 10:53:02,143 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'rag_template'
|
||
2024-06-10 10:59:19,667 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-10 10:59:19,676 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-10 10:59:19,676 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-10 10:59:47,697 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 10:59:47,698 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 10:59:47,897 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10bd800b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10bd815e0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10bda4920>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10bda6420>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "My information is insufficient to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 10:59:47,898 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 10:59:47,898 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 10:59:47,976 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-10 11:00:30,349 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:00:30,350 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me which solutions ae offers?. Processing...
|
||
2024-06-10 11:00:30,408 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1181b28d0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1397ed310>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1397ee600>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1397bff80>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "My information is insufficient to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:00:30,408 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:00:30,409 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:00:30,411 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me which solutions ae offers?
|
||
2024-06-10 11:18:23,253 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-10 11:18:23,263 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-10 11:18:23,263 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-10 11:18:52,738 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:18:52,739 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 11:18:52,957 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11b0807a0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11b081c70>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11b0a8c50>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11b0aa780>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:18:52,957 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:18:52,957 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:18:52,998 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-10 11:22:57,215 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-10 11:22:57,225 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-10 11:22:57,225 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-10 11:23:13,920 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:23:13,921 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 11:23:14,144 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10fe807d0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10fe80080>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10fea8c80>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10feaa810>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:23:14,145 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:23:14,145 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:23:14,185 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-10 11:26:58,169 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:26:58,170 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-10 11:26:58,231 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d0b0500>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12efaf410>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12efe19a0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12efb3dd0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:26:58,231 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:26:58,232 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:26:58,236 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-10 11:27:33,846 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:27:33,847 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me a summary of the Data & AI solution offered by ae?. Processing...
|
||
2024-06-10 11:27:33,908 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12efb30e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12efb38f0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4f2180>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12efb11c0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:27:33,908 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:27:33,909 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:27:33,912 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give me a summary of the Data & AI solution offered by ae?
|
||
2024-06-10 11:49:32,530 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:49:32,531 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Do they also offer services on application development?. Processing...
|
||
2024-06-10 11:49:32,586 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12efb0410>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4cd580>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4cfce0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d4bd670>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:49:32,586 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:49:32,587 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:49:32,590 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Do they also offer services on application development?
|
||
2024-06-10 11:49:53,527 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 11:49:53,528 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you specify their application development services?. Processing...
|
||
2024-06-10 11:49:53,588 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4bfd10>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d488110>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d48b200>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d45d1c0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 11:49:53,588 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 11:49:53,589 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 11:49:53,593 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you specify their application development services?
|
||
2024-06-10 12:33:09,526 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:33:09,527 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 12:33:09,568 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12efe1be0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d45ce90>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12efe05f0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12efe31d0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:33:09,569 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:33:09,569 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:33:09,572 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-10 12:34:56,640 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:34:56,640 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main solutions offered by ae?. Processing...
|
||
2024-06-10 12:34:56,700 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4bf230>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d0b16a0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4cc8c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d4bd880>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:34:56,701 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:34:56,701 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:34:56,705 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main solutions offered by ae?
|
||
2024-06-10 12:35:30,871 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:35:30,872 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me some more about the Data solution offered by ae?. Processing...
|
||
2024-06-10 12:35:30,926 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4beba0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4f2750>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4bf830>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d440fe0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:35:30,927 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:35:30,927 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:35:30,931 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me some more about the Data solution offered by ae?
|
||
2024-06-10 12:39:41,508 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:39:41,509 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are data products?. Processing...
|
||
2024-06-10 12:39:41,567 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d443bf0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d442750>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4b74d0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d4b5c70>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:39:41,568 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:39:41,568 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:39:41,573 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are data products?
|
||
2024-06-10 12:40:28,141 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:40:28,142 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae perform assessments, and if so, in which area's?. Processing...
|
||
2024-06-10 12:40:28,195 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d41ca40>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d41e6f0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d0b0740>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d41f5f0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:40:28,196 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:40:28,196 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:40:28,199 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae perform assessments, and if so, in which area's?
|
||
2024-06-10 12:41:08,026 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:41:08,027 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae assist in building a roadmap?. Processing...
|
||
2024-06-10 12:41:08,081 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d443d10>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4f3170>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12efb1640>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12efe06b0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:41:08,081 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:41:08,082 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:41:08,085 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae assist in building a roadmap?
|
||
2024-06-10 12:41:50,018 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:41:50,019 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: How does ae assist in improving business insights?. Processing...
|
||
2024-06-10 12:41:50,071 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4f06b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12efe3140>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4ce6f0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d45f770>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:41:50,072 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:41:50,072 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:41:50,075 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: How does ae assist in improving business insights?
|
||
2024-06-10 12:44:04,517 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:44:04,518 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What services are offered by ae?. Processing...
|
||
2024-06-10 12:44:04,558 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d45f2c0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4091c0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d40b4a0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d1ed670>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:44:04,558 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:44:04,558 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:44:04,561 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services are offered by ae?
|
||
2024-06-10 12:44:40,926 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:44:40,926 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you also tell me the solutions ae offers?. Processing...
|
||
2024-06-10 12:44:40,981 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4432c0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d1ec9e0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d442150>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d41d790>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:44:40,982 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:44:40,982 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:44:40,985 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you also tell me the solutions ae offers?
|
||
2024-06-10 12:45:13,364 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:45:13,364 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me a little bit more about the Data & AI offering?. Processing...
|
||
2024-06-10 12:45:13,420 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d4cd5e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d41c3b0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4f2ed0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d40a960>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:45:13,420 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:45:13,421 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:45:13,424 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me a little bit more about the Data & AI offering?
|
||
2024-06-10 12:46:25,056 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 12:46:25,056 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you also give me some details about the CIAM solution?. Processing...
|
||
2024-06-10 12:46:25,097 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12efe0f80>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4cc200>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12efe0710>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d1e67b0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 12:46:25,098 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 12:46:25,098 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 12:46:25,101 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you also give me some details about the CIAM solution?
|
||
2024-06-10 15:08:59,669 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 15:08:59,669 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the mission for ae?. Processing...
|
||
2024-06-10 15:08:59,711 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d1e6480>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d1e6600>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d4d8350>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d4da300>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 15:08:59,711 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 15:08:59,712 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 15:08:59,714 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the mission for ae?
|
||
2024-06-10 15:09:17,362 [DEBUG] eveai_chat_workers: In ask_question
|
||
2024-06-10 15:09:17,363 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-10 15:09:17,418 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12d1bca40>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12d4081d0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12d41f830>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12d0b0d10>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 15:09:17,419 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 15:09:17,419 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 15:09:17,422 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-10 15:59:04,001 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-10 15:59:04,022 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-10 15:59:04,023 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-10 16:00:14,230 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-10 16:00:14,311 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42703', 'M': 'column chat_session.session_id does not exist', 'H': 'Perhaps you meant to reference the column "chat_session.session_end".', 'P': '90', 'F': 'parse_relation.c', 'L': '3657', 'R': 'errorMissingColumn'}
|
||
[SQL: SELECT chat_session.id AS chat_session_id, chat_session.user_id AS chat_session_user_id, chat_session.session_id AS chat_session_session_id, chat_session.session_start AS chat_session_session_start, chat_session.session_end AS chat_session_session_end
|
||
FROM chat_session
|
||
WHERE chat_session.session_id = %s::VARCHAR
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('fc3fb6be-3bc6-4cb3-8b56-41a59d3fbfee', 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-10 16:02:08,645 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-10 16:02:08,867 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11df82060>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11df83140>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1620163c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x162017ec0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 16:02:08,867 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 16:02:08,868 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 16:02:08,916 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-10 16:04:35,028 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Do you have more information on the Inspire service?. Processing...
|
||
2024-06-10 16:04:35,087 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x162d11af0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x162d396a0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x163205190>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x163206d20>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}'}
|
||
2024-06-10 16:04:35,088 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-10 16:04:35,088 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-10 16:04:35,093 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Do you have more information on the Inspire service?
|
||
2024-06-11 10:47:40,500 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 10:47:40,521 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 10:47:40,521 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 10:48:00,175 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 10:48:00,420 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11664dd00>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11664f830>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1166ea8d0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x117a004a0>, model_name='gpt-4o', temperature=0.3, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 10:48:00,421 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 10:48:00,421 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 10:48:00,468 [ERROR] eveai_chat_workers: ask_question: Error processing question:
|
||
2024-06-11 11:06:12,186 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 11:06:12,195 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 11:06:12,195 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 11:06:39,279 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 11:06:39,498 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x119f16f30>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x119fa8620>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x119fab5c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x119fab830>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:06:39,499 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:06:39,499 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:06:39,533 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'RunnableSequence' object has no attribute 'output_parser'
|
||
2024-06-11 11:07:42,721 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 11:07:42,732 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 11:07:42,732 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 11:08:05,227 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 11:08:05,445 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1194170e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1194ac380>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1194af5c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1194d9160>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:08:05,445 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:08:05,446 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:08:05,489 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 11:08:15,745 [ERROR] eveai_chat_workers: ask_question: Error saving interaction to database: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '23502', 'M': 'null value in column "interaction_id" of relation "interaction_embedding" violates not-null constraint', 'D': 'Failing row contains (null, 153).', 's': '39', 't': 'interaction_embedding', 'c': 'interaction_id', 'F': 'execMain.c', 'L': '1889', 'R': 'ExecConstraints'}
|
||
[SQL: INSERT INTO interaction_embedding (embedding_id) VALUES (%s::INTEGER), (%s::INTEGER), (%s::INTEGER), (%s::INTEGER), (%s::INTEGER)]
|
||
[parameters: (153, 334, 398, 230, 246)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-11 11:08:15,746 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '23502', 'M': 'null value in column "interaction_id" of relation "interaction_embedding" violates not-null constraint', 'D': 'Failing row contains (null, 153).', 's': '39', 't': 'interaction_embedding', 'c': 'interaction_id', 'F': 'execMain.c', 'L': '1889', 'R': 'ExecConstraints'}
|
||
[SQL: INSERT INTO interaction_embedding (embedding_id) VALUES (%s::INTEGER), (%s::INTEGER), (%s::INTEGER), (%s::INTEGER), (%s::INTEGER)]
|
||
[parameters: (153, 334, 398, 230, 246)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-11 11:12:49,884 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 11:12:49,893 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 11:12:49,893 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 11:13:06,886 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 11:13:07,116 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11d6176e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11d6ac9b0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11d6af8c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11d6d93d0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:13:07,117 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:13:07,117 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:13:07,158 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 11:13:15,421 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services aimed at helping businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help businesses learn, grow, and break out of their comfort zones.
|
||
2. **IT Team Extension**: Offering access to a diverse team of skilled professionals to contribute to project success.
|
||
3. **Strategic Advice**: Delivering strategic advice and innovative thinking to align with business goals and navigate challenges.
|
||
4. **Managed Services**: Handling the management and maintenance of software and infrastructure, allowing businesses to focus on their core activities.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery through skilled IT experts.
|
||
6. **Application Development**: Transforming ideas into reality with innovative digital solutions built by their Digital Studio.
|
||
|
||
Additionally, AE provides solutions in areas such as Data & AI, CIAM, Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid.
|
||
|
||
AE also offers specialized services to enhance customer experience, including Customer Journey Mapping, Workshops, Prototyping, and creating Blueprints & Roadmaps.
|
||
|
||
Sources: 153, 334, 398, 230, 246
|
||
2024-06-11 11:13:15,422 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 11:13:15,423 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'embeddings'
|
||
2024-06-11 11:16:54,528 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 11:16:54,538 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 11:16:54,538 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 11:17:07,424 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 11:17:07,535 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 11:17:07,663 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10c917170>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10c9ac560>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10c9af4a0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10c9d8fb0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:17:07,663 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:17:07,664 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:17:07,705 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 11:17:14,991 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a variety of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Fueling business creativity and innovation by igniting fresh ideas.
|
||
2. **IT Team Extension**: Providing skilled professionals to complement in-house talent and ensure efficient workflow.
|
||
3. **Strategic Advice**: Offering insightful guidance to navigate business complexities and foster sustainable growth.
|
||
4. **Managed Services**: Handling system maintenance, cybersecurity, and overall IT infrastructure management.
|
||
5. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure.
|
||
6. **Application Development**: Building innovative digital solutions tailored to meet specific business requirements.
|
||
|
||
Additionally, AE provides solutions in areas such as Data & AI, CIAM, Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid.
|
||
|
||
These services are designed to inspire, extend team capabilities, provide strategic advice, manage IT services, offer consultancy, and develop applications, all aimed at accelerating business growth and efficiency.
|
||
2024-06-11 11:17:14,992 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 11:23:02,008 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Which solutions are offered in the Data domain by ae?. Processing...
|
||
2024-06-11 11:23:02,025 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 11:23:02,067 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11f9dd8b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11fdd4a10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11fdd7830>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11fdbecc0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:23:02,069 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:23:02,069 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:23:02,073 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Which solutions are offered in the Data domain by ae?
|
||
2024-06-11 11:23:06,600 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers several solutions in the Data domain, including:
|
||
|
||
1. Unlocking the value of your data: Empowering businesses by extracting valuable insights, driving informed decisions, and propelling growth.
|
||
2. Lifting your data platform: Collecting, consolidating, and organizing data to become a data-driven organization. This involves creating a future-proof, secure, and user-friendly data platform that delivers valuable insights on the fly.
|
||
|
||
These solutions are designed to help businesses gain a competitive edge, create real business value, lower costs, and mitigate risks by enabling their data products.
|
||
2024-06-11 11:23:06,602 [DEBUG] eveai_chat_workers: ask_question: result citations: [154, 338, 339]
|
||
2024-06-11 11:23:35,394 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Do you have more information on 'unlocking the value of your data'?. Processing...
|
||
2024-06-11 11:23:35,408 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 11:23:35,451 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11fdae660>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11fdbca40>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11fdae9c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11fd84fe0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:23:35,452 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:23:35,453 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:23:35,456 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Do you have more information on 'unlocking the value of your data'?
|
||
2024-06-11 11:23:43,606 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, I have more information on 'unlocking the value of your data.' Businesses that use data efficiently can increase their profit by 8% and experience a 10% reduction in cost. The benefits include more informed strategic decisions, improved control of operational processes, and a better understanding of customer behavior. The methodology to unlock the value of your data involves three main steps: Align, Explore, and Apply. During the Align phase, possible business cases are identified and validated based on their assumed ROI. In the Explore phase, a proof of value is built, data is gathered, KPIs are validated, and a fixed budget and time-boxed solution are proposed. The Apply phase involves deciding whether to integrate the solution into day-to-day operations. Additionally, hands-on tools and services such as interviews, data assessments, workshops, ideation, prototyping, integration design, training, and coaching are available to support this process.
|
||
|
||
Key enablers for unlocking data value include leadership and culture, data infrastructure and technology, operationalization of ML and AI, data accessibility, and data governance. A future-proof, secure, and user-friendly data platform is essential for delivering valuable insights.
|
||
|
||
AE focuses on ROI, offers more than just technology, and acts as a true end-to-end partner to help you unlock the value of your data.
|
||
|
||
Sources: 337, 158, 339, 338, 156
|
||
2024-06-11 11:23:43,609 [DEBUG] eveai_chat_workers: ask_question: result citations: [337, 158, 339, 338, 156]
|
||
2024-06-11 11:24:53,129 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Is there proof to be found on increasing profit by 8% and a reduction in cost by 10% when using data?. Processing...
|
||
2024-06-11 11:24:53,143 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 11:24:53,179 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11fd84b30>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11fd84a10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11fd7b050>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11fd86390>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 11:24:53,179 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 11:24:53,179 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 11:24:53,192 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Is there proof to be found on increasing profit by 8% and a reduction in cost by 10% when using data?
|
||
2024-06-11 11:24:57,782 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, there is proof that companies using big data analytics can achieve an average 8% increase in revenues and a 10% reduction in costs. This information is supported by multiple sources, which highlight the benefits of big data in making better strategic decisions, improving operational processes, and understanding customer behavior better.
|
||
|
||
Sources: 166, 346, 165, 337
|
||
2024-06-11 11:24:57,784 [DEBUG] eveai_chat_workers: ask_question: result citations: [166, 346, 165, 337]
|
||
2024-06-11 14:44:52,335 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 14:44:52,344 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 14:44:52,344 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 14:45:21,331 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-11 14:45:21,419 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 14:45:21,552 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11561b290>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1156a49b0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1156a79b0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1156d54c0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 14:45:21,553 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 14:45:21,553 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 14:45:21,597 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-11 14:45:29,742 [DEBUG] eveai_chat_workers: ask_question: result answer: The main services offered by AE include:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help businesses learn, grow, and break out of their comfort zones.
|
||
2. **IT Team Extension**: Offering access to a diverse team of skilled professionals to contribute to project success.
|
||
3. **Strategic Advice**: Delivering strategic advice and innovative thinking aligned with business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Handling the management and maintenance of software and infrastructure, allowing businesses to focus on their core activities.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery with skilled IT experts.
|
||
6. **Application Development**: Transforming ideas into reality through innovative digital solutions.
|
||
|
||
These services are designed to help businesses thrive in a digital world by combining technology, business, and people to accelerate growth.
|
||
|
||
Sources: 153, 334, 246
|
||
2024-06-11 14:45:29,743 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 246]
|
||
2024-06-11 16:15:39,606 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 16:15:39,629 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 16:15:39,629 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 16:16:59,165 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
|
||
2024-06-11 16:16:59,255 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 16:16:59,392 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10fb1b230>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10fbb4980>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10fbb7920>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10fbd94c0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 16:16:59,393 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 16:16:59,393 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 16:16:59,437 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
|
||
2024-06-11 16:17:09,135 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services designed to help businesses thrive in a digital world. The main services include:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help businesses learn, grow, and innovate.
|
||
2. **IT Team Extension**: Offering access to a diverse team of skilled professionals to support project success.
|
||
3. **Strategic Advice**: Delivering strategic advice and innovative thinking to align with business goals and navigate challenges.
|
||
4. **Managed Services**: Handling the management and maintenance of software and infrastructure, allowing businesses to focus on their core operations.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery through skilled IT experts.
|
||
6. **Application Development**: Building innovative digital solutions tailored to meet specific business requirements.
|
||
|
||
These services are designed to blend ICT and business, providing comprehensive solutions that go beyond technology to address broader business challenges.
|
||
|
||
Sources: 153, 334, 246
|
||
2024-06-11 16:17:09,135 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 246]
|
||
2024-06-11 16:18:57,705 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: test. Processing...
|
||
2024-06-11 16:18:57,722 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 16:18:57,756 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13c1cb020>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13c1c9310>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13c1ba450>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13c1b8980>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 16:18:57,757 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 16:18:57,757 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 16:18:57,760 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: test
|
||
2024-06-11 16:18:59,774 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-11 16:18:59,774 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-11 16:20:17,341 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 16:20:17,350 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 16:20:17,350 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 16:22:25,242 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 16:22:25,330 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 16:22:25,458 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x116f175f0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x116fb48f0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x116fb7b30>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x116fd9670>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 16:22:25,459 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 16:22:25,459 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 16:22:25,502 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 16:22:33,129 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Gain inspiration and ideas to help your business grow and innovate.
|
||
2. **IT Team Extension**: Access a team of skilled professionals to complement your in-house talent and contribute to your project's success.
|
||
3. **Strategic Advice**: Receive strategic advice and innovative thinking that aligns with your business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Focus on your core business while AE manages and maintains your software and infrastructure.
|
||
5. **IT Consultancy**: Leverage AE's IT experts to ensure cost-effective and efficient project delivery.
|
||
6. **Application Development**: Transform your ideas into reality with AE's Digital Studio, which builds innovative digital solutions tailored to your requirements.
|
||
|
||
Additionally, AE offers specialized solutions in areas such as Data & AI, CIAM (Customer Identity and Access Management), Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid solutions.
|
||
|
||
AE also provides frameworks and tools for creating a seamless customer experience, including customer journey mapping, workshops, prototyping, and blueprints & roadmaps.
|
||
|
||
Sources: 153, 334, 398, 230, 246
|
||
2024-06-11 16:22:33,129 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 16:37:30,174 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 16:37:30,194 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 16:37:30,224 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1371caf90>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1371c9400>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1371ba3c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1371b8860>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 16:37:30,225 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 16:37:30,225 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 16:37:30,228 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 16:37:38,394 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services to help businesses thrive in the digital world. These services include:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help businesses learn, grow, and break out of their comfort zones.
|
||
2. **IT Team Extension**: Offering access to an entire AE team with diverse skill sets to contribute to a project's success.
|
||
3. **Strategic Advice**: Providing strategic advice and innovative thinking that aligns with business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Handling the management and maintenance of all or part of a business's software and/or infrastructure, allowing businesses to focus on their core activities.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery through skilled IT experts.
|
||
6. **Application Development**: Transforming ideas into reality with innovative digital solutions built by AE's Digital Studio.
|
||
7. **Customer Journey Mapping**: Creating visual storylines of every engagement a customer has with a brand, service, or product to better understand processes, needs, and perceptions.
|
||
8. **Workshops**: Offering workshops for ideation, design, aligning business and IT, and adapting to a customer experience mindset.
|
||
9. **Prototyping**: Helping with service and UX design of mock prototypes, conducting user testing, and assessing the feasibility of the prototypes.
|
||
10. **Blueprints & Roadmaps**: Creating blueprints, service models, roadmaps, and application or service landscapes to facilitate and document the journey towards an improved customer experience.
|
||
|
||
These services are designed to help businesses optimize their operations, enhance customer and employee experiences, and drive sustainable growth.
|
||
2024-06-11 16:37:38,396 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 17:01:14,127 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 17:01:14,146 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 17:01:14,178 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13719f980>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13719fb00>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13719db80>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13718a510>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 17:01:14,178 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 17:01:14,178 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 17:01:14,181 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 17:01:27,636 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Gain inspiration and ideas to learn, grow, and break out of your comfort zone.
|
||
2. **IT Team Extension**: Access an entire AE team with diverse skill sets, ready to contribute to your project’s success.
|
||
3. **Strategic Advice**: Receive strategic advice and innovative thinking that aligns with your business goals to help you navigate challenges and identify opportunities for growth.
|
||
4. **Managed Services**: Focus on your core business while AE handles the management and maintenance of all or part of your software and/or infrastructure.
|
||
5. **IT Consultancy**: Rely on skilled IT experts to ensure cost-effective and efficient project delivery.
|
||
6. **Application Development**: Transform your ideas into reality with AE's Digital Studio, equipped to build innovative digital solutions that meet your requirements.
|
||
|
||
Additionally, AE offers solutions in various domains such as Data & AI, CIAM, Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid.
|
||
|
||
Moreover, AE provides services to improve customer experience through customer journey mapping, workshops, prototyping, and creating blueprints and roadmaps.
|
||
|
||
Sources: 153, 334, 398, 230, 246
|
||
2024-06-11 17:01:27,637 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 17:07:30,951 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 17:07:30,970 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 17:07:31,008 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13718b950>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x137169340>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1371bbb90>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1371ba060>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 17:07:31,008 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 17:07:31,008 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 17:07:31,011 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 17:07:53,747 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a variety of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Gain inspiration and ideas to learn, grow, and break out of your comfort zone.
|
||
2. **IT Team Extension**: Access an entire AE team with diverse skill sets to contribute to your project’s success.
|
||
3. **Strategic Advice**: Receive strategic advice and innovative thinking that aligns with your business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Focus on your core business while AE manages and maintains all or part of your software and/or infrastructure.
|
||
5. **IT Consultancy**: Utilize skilled IT experts to ensure cost-effective and efficient project delivery.
|
||
6. **Application Development**: Transform your ideas into reality with AE’s Digital Studio, equipped to build innovative digital solutions.
|
||
7. **Data & AI**: Leverage data and artificial intelligence for business insights and solutions.
|
||
8. **CIAM (Customer Identity and Access Management)**: Manage customer identities and access efficiently.
|
||
9. **Digital Talent & Organisation**: Develop digital talent and organizational strategies.
|
||
10. **Document Hyperautomation**: Automate document processing and management.
|
||
11. **Applications**: Develop and manage business applications.
|
||
12. **Digital Strategy & Innovation**: Craft and implement digital strategies and innovative solutions.
|
||
13. **Business & IT Architecture**: Design and optimize business and IT architectures.
|
||
14. **IT Delivery & Performance**: Enhance IT delivery and performance.
|
||
15. **Cloud & Hybrid Solutions**: Implement and manage cloud and hybrid IT solutions.
|
||
16. **Customer Journey Mapping**: Visualize and improve customer engagement processes.
|
||
17. **Workshops**: Conduct workshops for ideation, design, and aligning business and IT.
|
||
18. **Prototyping**: Design and test prototypes for service and UX design.
|
||
19. **Blueprints & Roadmaps**: Create blueprints, service models, and roadmaps for improved customer experience.
|
||
|
||
These services are aimed at fostering innovation, improving customer and employee experiences, and driving business growth.
|
||
|
||
Sources: 153, 334, 398, 230, 246
|
||
2024-06-11 17:07:53,749 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 17:11:57,813 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-11 17:11:57,832 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 17:11:57,863 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13716b3e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1371b89b0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13719f950>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13716aba0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 17:11:57,864 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 17:11:57,864 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 17:11:57,867 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-11 17:12:02,684 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of solutions, including:
|
||
|
||
1. **Data & AI**
|
||
2. **CIAM (Customer Identity and Access Management)**
|
||
3. **Digital Talent & Organisation**
|
||
4. **Document Hyperautomation**
|
||
5. **Applications**
|
||
6. **Digital Strategy & Innovation**
|
||
7. **Business & IT Architecture**
|
||
8. **IT Delivery & Performance**
|
||
9. **Cloud & Hybrid**
|
||
|
||
These solutions are designed to help businesses thrive in a digital world by integrating technology, business, and people to address various challenges and opportunities.
|
||
|
||
Sources: 153, 334
|
||
2024-06-11 17:12:02,686 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334]
|
||
2024-06-11 17:16:51,992 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 17:16:52,020 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 17:16:52,059 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13718bd70>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13715b7a0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13716b830>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13715b830>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 17:16:52,060 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 17:16:52,060 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 17:16:52,064 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 17:17:01,732 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a comprehensive range of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Gain inspiration and ideas to learn, grow, and break out of your comfort zone.
|
||
2. **IT Team Extension**: Access an entire AE team with diverse skill sets to contribute to your project’s success.
|
||
3. **Strategic Advice**: Receive strategic advice and innovative thinking that aligns with your business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Focus on your core business while AE manages and maintains all or part of your software and/or infrastructure.
|
||
5. **IT Consultancy**: Rely on skilled IT experts to ensure cost-effective and efficient project delivery.
|
||
6. **Application Development**: Transform your ideas into reality with AE's Digital Studio, building innovative digital solutions to meet your requirements.
|
||
7. **Data & AI**: Leverage data and artificial intelligence to drive business insights and innovation.
|
||
8. **CIAM (Customer Identity and Access Management)**: Implement solutions to manage customer identities and access securely.
|
||
9. **Digital Talent & Organisation**: Develop digital talent and organizational strategies to support digital transformation.
|
||
10. **Document Hyperautomation**: Automate document processes to increase efficiency and accuracy.
|
||
11. **Applications**: Develop and manage applications tailored to business needs.
|
||
12. **Digital Strategy & Innovation**: Create and implement digital strategies to foster innovation.
|
||
13. **Business & IT Architecture**: Design and optimize business and IT architectures for better alignment and performance.
|
||
14. **IT Delivery & Performance**: Enhance IT delivery and performance through best practices and innovative solutions.
|
||
15. **Cloud & Hybrid**: Implement and manage cloud and hybrid solutions for scalable and flexible IT infrastructure.
|
||
|
||
These services are designed to provide end-to-end support, from strategic advice and innovation to full implementation and management of processes and applications.
|
||
|
||
Sources: 153, 334, 398, 230, 246
|
||
2024-06-11 17:17:01,734 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334, 398, 230, 246]
|
||
2024-06-11 19:24:56,478 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions and services offered in the data and ai domain?. Processing...
|
||
2024-06-11 19:24:56,495 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 19:24:56,535 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13712c2c0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13712d3d0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1371b2a50>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x13712edb0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 19:24:56,536 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 19:24:56,536 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 19:24:56,539 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions and services offered in the data and ai domain?
|
||
2024-06-11 19:25:04,147 [DEBUG] eveai_chat_workers: ask_question: result answer: The solutions and services offered in the Data and AI domain include:
|
||
|
||
1. **Unlocking the value of data**: Empowering businesses by extracting valuable insights, driving informed decisions, and propelling growth.
|
||
2. **Lifting the data platform**: Collecting, consolidating, and organizing data to create a future-proof, secure, and user-friendly data platform that delivers valuable insights on the fly.
|
||
3. **Interviews & Data Assessment**: Conducting interviews and assessments to understand the current data landscape.
|
||
4. **Workshops & Ideation**: Facilitating workshops to generate and validate business cases with high ROI.
|
||
5. **Prototyping**: Developing and testing prototypes to validate the expected ROI.
|
||
6. **Integration Design**: Designing processes to fully integrate prototype solutions into day-to-day operations.
|
||
7. **Training & Coaching**: Providing training and coaching to help teams maintain, improve, and develop new data products.
|
||
|
||
These services are designed to help businesses gain a competitive edge, create real business value, lower costs, and mitigate risks by enabling their data products.
|
||
|
||
Sources: 338, 154, 339, 156, 158
|
||
2024-06-11 19:25:04,148 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 154, 339, 156, 158]
|
||
2024-06-11 19:30:49,317 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-11 19:30:49,334 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 19:30:49,378 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1372fa5d0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13712fd10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1371bbb00>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1371c84a0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 19:30:49,378 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 19:30:49,379 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 19:30:49,381 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-11 19:30:56,638 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a variety of solutions that cater to different aspects of business and ICT needs. These solutions include:
|
||
|
||
1. **Data & AI**
|
||
2. **CIAM (Customer Identity and Access Management)**
|
||
3. **Digital Talent & Organisation**
|
||
4. **Document Hyperautomation**
|
||
5. **Applications**
|
||
6. **Digital Strategy & Innovation**
|
||
7. **Business & IT Architecture**
|
||
8. **IT Delivery & Performance**
|
||
9. **Cloud & Hybrid**
|
||
|
||
These solutions are designed to help businesses thrive in a digital world by combining technology, business, and people to offer comprehensive and impactful solutions.
|
||
|
||
Sources: 153, 334
|
||
2024-06-11 19:30:56,639 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334]
|
||
2024-06-11 19:33:18,714 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is included in ae's CIAM offering?. Processing...
|
||
2024-06-11 19:33:18,741 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 19:33:18,786 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1372fb3e0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1371b33e0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13719e9f0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1372faab0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 19:33:18,786 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 19:33:18,787 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 19:33:18,790 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is included in ae's CIAM offering?
|
||
2024-06-11 19:33:30,553 [DEBUG] eveai_chat_workers: ask_question: result answer: AE's CIAM offering includes a customized CIAM solution built on top of existing platforms like Microsoft Entra ID (formerly Azure AD) and Okta. The solution is designed to fit the needs of both individual consumers and organizations. Key features of AE's CIAM offering include:
|
||
|
||
1. **Proven Methodology and Technology**: Implementation of a minimal viable product (MVP) within 60 days using a proven methodology and custom-made CIAM solution.
|
||
2. **End-to-End Solution**: Comprehensive services from initial discovery to post-implementation support.
|
||
3. **Integration**: Seamless integration into the client's existing IT landscape.
|
||
4. **Post-Implementation Support**: Ongoing support after the implementation.
|
||
5. **Self-Service Options**: Enhanced self-service and access delegation features.
|
||
6. **Scalability**: Unparalleled scalability to meet various business needs.
|
||
7. **Streamlined Onboarding**: Efficient onboarding processes.
|
||
8. **Security and Compliance**: Strong security measures and compliance with privacy regulations.
|
||
9. **Real-Time Monitoring**: Continuous monitoring across the entire solution.
|
||
10. **Data Export**: Simplified data export in various formats.
|
||
|
||
These features ensure a secure, seamless, and customized digital user experience.
|
||
|
||
2024-06-11 19:33:30,554 [DEBUG] eveai_chat_workers: ask_question: result citations: [157, 159, 341, 335, 162]
|
||
2024-06-11 19:37:16,772 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are all the solutions offered by ae?. Processing...
|
||
2024-06-11 19:37:16,786 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 19:37:16,828 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1371b29f0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x13715b5c0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x13712cbf0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x137158680>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 19:37:16,828 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 19:37:16,829 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 19:37:16,832 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are all the solutions offered by ae?
|
||
2024-06-11 19:37:20,558 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of solutions, including:
|
||
|
||
1. Data & AI
|
||
2. CIAM (Customer Identity and Access Management)
|
||
3. Digital Talent & Organisation
|
||
4. Document Hyperautomation
|
||
5. Applications
|
||
6. Digital Strategy & Innovation
|
||
7. Business & IT Architecture
|
||
8. IT Delivery & Performance
|
||
9. Cloud & Hybrid
|
||
|
||
Additionally, AE has developed specific solutions for clients such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.
|
||
|
||
Sources: 153, 334
|
||
2024-06-11 19:37:20,559 [DEBUG] eveai_chat_workers: ask_question: result citations: [153, 334]
|
||
2024-06-11 19:37:36,150 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about Document Hyperautomation?. Processing...
|
||
2024-06-11 19:37:36,169 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 19:37:36,209 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x13718ad80>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1372db710>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1372dbf80>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1371125d0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 19:37:36,210 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 19:37:36,210 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 19:37:36,213 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me more about Document Hyperautomation?
|
||
2024-06-11 19:37:43,401 [DEBUG] eveai_chat_workers: ask_question: result answer: Document hyperautomation involves using artificial intelligence (AI) to enhance the efficiency of document workflows by reducing manual interventions. The process is designed to save time and resources by automating repetitive tasks, which can also improve job satisfaction by eliminating frustrations and inefficiencies. A three-pillar framework is typically used to achieve hyperautomation: Vision & Foundation, Creation & Integration, and Growth & Partnership. This framework includes identifying inefficiencies, developing custom solutions, and providing ongoing support. The benefits of document hyperautomation include empowered employees, increased retention, streamlined efficiency, data-driven decision-making, and seamless integration. For example, the implementation of an AI tool for document automation improved the service delivery and team performance of SDWorx.
|
||
2024-06-11 19:37:43,404 [DEBUG] eveai_chat_workers: ask_question: result citations: [352, 171, 353]
|
||
2024-06-11 20:16:26,839 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 20:16:26,860 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 20:16:26,860 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 20:16:52,805 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 20:16:52,890 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 20:16:53,018 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10ca17650>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10caac950>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10ca17830>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10cad1670>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 20:16:53,019 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 20:16:53,019 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 20:16:53,090 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 20:16:54,616 [ERROR] eveai_chat_workers: ask_question: Error processing question: type object 'DocumentVersion' has no attribute 'document_id'
|
||
2024-06-11 20:19:08,420 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-11 20:19:08,429 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-11 20:19:08,429 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-11 20:19:30,168 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-11 20:19:30,267 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-11 20:19:30,394 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x128c163c0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x128c17c50>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x128caea20>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x128cc8590>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-11 20:19:30,394 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-11 20:19:30,395 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-11 20:19:30,435 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-11 20:19:33,943 [ERROR] eveai_chat_workers: Error retrieving relevant documents: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42883', 'M': 'operator does not exist: timestamp without time zone <= character varying', 'H': 'No operator matches the given name and argument types. You might need to add explicit type casts.', 'P': '867', 'F': 'parse_oper.c', 'L': '656', 'R': 'op_error'}
|
||
[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
|
||
FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
|
||
FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
|
||
WHERE (document.valid_from IS NULL OR document.valid_from <= %s::VARCHAR) AND (document.valid_to IS NULL OR document.valid_to >= %s::VARCHAR) AND (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', '2024-06-11', '2024-06-11', '[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', 0.85, 5)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-11 20:19:35,021 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-11 20:19:35,022 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-11 20:19:35,028 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '25P02', 'M': 'current transaction is aborted, commands ignored until end of transaction block', 'F': 'postgres.c', 'L': '1079', 'R': 'exec_simple_query'}
|
||
[SQL: SELECT embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk
|
||
FROM embeddings
|
||
WHERE embeddings.id IN (NULL) AND (1 != 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:14:08,981 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 09:14:08,991 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 09:14:08,991 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 09:33:40,018 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-12 09:33:40,109 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 09:33:40,252 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x122317050>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1223b0860>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1223b3800>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1223d53a0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 09:33:40,253 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 09:33:40,253 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 09:33:40,304 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-12 09:33:43,010 [ERROR] eveai_chat_workers: Error retrieving relevant documents: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42883', 'M': 'operator does not exist: timestamp without time zone <= character varying', 'H': 'No operator matches the given name and argument types. You might need to add explicit type casts.', 'P': '867', 'F': 'parse_oper.c', 'L': '656', 'R': 'op_error'}
|
||
[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
|
||
FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
|
||
FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
|
||
WHERE (document.valid_from IS NULL OR document.valid_from <= %s::VARCHAR) AND (document.valid_to IS NULL OR document.valid_to >= %s::VARCHAR) AND (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', '2024-06-12', '2024-06-12', '[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', 0.85, 5)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:33:44,132 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 09:33:44,133 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 09:33:44,136 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '25P02', 'M': 'current transaction is aborted, commands ignored until end of transaction block', 'F': 'postgres.c', 'L': '1079', 'R': 'exec_simple_query'}
|
||
[SQL: SELECT embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk
|
||
FROM embeddings
|
||
WHERE embeddings.id IN (NULL) AND (1 != 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:42:39,987 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 09:42:39,996 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 09:42:39,996 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 09:43:02,988 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-12 09:43:03,079 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 09:43:03,205 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16801a3f0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1680b0620>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1680b3590>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1680b3830>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 09:43:03,205 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 09:43:03,206 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 09:43:03,246 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-12 09:43:03,833 [ERROR] eveai_chat_workers: Error retrieving relevant documents: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42883', 'M': 'operator does not exist: timestamp without time zone <= character varying', 'H': 'No operator matches the given name and argument types. You might need to add explicit type casts.', 'P': '867', 'F': 'parse_oper.c', 'L': '656', 'R': 'op_error'}
|
||
[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
|
||
FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
|
||
FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
|
||
WHERE (document.valid_from IS NULL OR document.valid_from <= %s::VARCHAR) AND (document.valid_to IS NULL OR document.valid_to >= %s::VARCHAR) AND (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('[0.013147502569998516,-0.015485337266871593,0.06416642388850582,0.01399694043321505,-0.015086927731199124,0.018146409801052282,-0.010283466915893984, ... (32328 characters truncated) ... 8,0.014500590346598317,0.01826668451843605,0.03436842784925439,0.004416328198540568,-0.001317381219876495,-0.019709977401751143,0.013222674268363372]', '2024-06-12', '2024-06-12', '[0.013147502569998516,-0.015485337266871593,0.06416642388850582,0.01399694043321505,-0.015086927731199124,0.018146409801052282,-0.010283466915893984, ... (32328 characters truncated) ... 8,0.014500590346598317,0.01826668451843605,0.03436842784925439,0.004416328198540568,-0.001317381219876495,-0.019709977401751143,0.013222674268363372]', 0.85, 5)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:43:04,654 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 09:43:04,655 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 09:43:04,660 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '25P02', 'M': 'current transaction is aborted, commands ignored until end of transaction block', 'F': 'postgres.c', 'L': '1079', 'R': 'exec_simple_query'}
|
||
[SQL: SELECT embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk
|
||
FROM embeddings
|
||
WHERE embeddings.id IN (NULL) AND (1 != 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:57:14,876 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 09:57:14,885 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 09:57:14,885 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 09:57:35,961 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-12 09:57:36,073 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 09:57:36,209 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10d51ad80>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10d5b0500>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10d5b34a0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10d5b3830>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 09:57:36,209 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 09:57:36,210 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 09:57:36,250 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
|
||
2024-06-12 09:57:36,699 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
|
||
LIMIT 5
|
||
2024-06-12 09:57:36,713 [ERROR] eveai_chat_workers: Error retrieving relevant documents: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42883', 'M': 'operator does not exist: timestamp without time zone <= character varying', 'H': 'No operator matches the given name and argument types. You might need to add explicit type casts.', 'P': '867', 'F': 'parse_oper.c', 'L': '656', 'R': 'op_error'}
|
||
[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
|
||
FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
|
||
FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
|
||
WHERE (document.valid_from IS NULL OR document.valid_from <= %s::VARCHAR) AND (document.valid_to IS NULL OR document.valid_to >= %s::VARCHAR) AND (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', '2024-06-12', '2024-06-12', '[0.01315841048649911,-0.015504367294793065,0.06418296547895731,0.013962953963268226,-0.015098336738583367,0.01813605013715093,-0.010263560104963501,0 ... (32335 characters truncated) ... ,0.01450432803821449,0.018286430789833167,0.03437728728669972,0.004398668549889889,-0.0012942236784869246,-0.019730096231453276,0.013233601744162781]', 0.85, 5)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 09:57:37,856 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 09:57:37,857 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 09:57:37,862 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '25P02', 'M': 'current transaction is aborted, commands ignored until end of transaction block', 'F': 'postgres.c', 'L': '1079', 'R': 'exec_simple_query'}
|
||
[SQL: SELECT embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk
|
||
FROM embeddings
|
||
WHERE embeddings.id IN (NULL) AND (1 != 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 10:01:40,624 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 10:01:40,633 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 10:01:40,633 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 10:02:00,153 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Why would I choose ae?. Processing...
|
||
2024-06-12 10:02:00,253 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 10:02:00,387 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x133017020>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1330b4830>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1330b7680>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1330b7830>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 10:02:00,387 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 10:02:00,387 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 10:02:00,428 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Why would I choose ae?
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2024-06-12 10:02:01,195 [DEBUG] eveai_chat_workers: SQL Statement:
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2024-06-12 10:02:01,207 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
|
||
LIMIT 5
|
||
2024-06-12 10:02:01,222 [ERROR] eveai_chat_workers: Error retrieving relevant documents: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42883', 'M': 'operator does not exist: timestamp without time zone <= character varying', 'H': 'No operator matches the given name and argument types. You might need to add explicit type casts.', 'P': '867', 'F': 'parse_oper.c', 'L': '656', 'R': 'op_error'}
|
||
[SQL: SELECT embedding_small_openai.id AS embedding_small_openai_id, embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk, embedding_small_openai.embedding AS embedding_small_openai_embedding, embedding_small_openai.embedding <=> %s AS distance
|
||
FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
|
||
FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
|
||
WHERE (document.valid_from IS NULL OR document.valid_from <= %s::VARCHAR) AND (document.valid_to IS NULL OR document.valid_to >= %s::VARCHAR) AND (embedding_small_openai.embedding <=> %s) < %s::FLOAT ORDER BY distance
|
||
LIMIT %s::INTEGER]
|
||
[parameters: ('[0.009253577380890374,-0.05039820475706488,0.015461568806976168,0.021844783919841442,0.0005720905642305748,-0.01697184527456702,-0.01957519735895888, ... (32358 characters truncated) ... ,-0.006287259550482963,0.01990895915717785,0.01722216802021512,0.008844718386447938,0.002045341080299957,-0.0008302353136035656,0.024615017834665364]', '2024-06-12', '2024-06-12', '[0.009253577380890374,-0.05039820475706488,0.015461568806976168,0.021844783919841442,0.0005720905642305748,-0.01697184527456702,-0.01957519735895888, ... (32358 characters truncated) ... ,-0.006287259550482963,0.01990895915717785,0.01722216802021512,0.008844718386447938,0.002045341080299957,-0.0008302353136035656,0.024615017834665364]', 0.85, 5)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 10:02:02,184 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 10:02:02,185 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 10:02:02,191 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '25P02', 'M': 'current transaction is aborted, commands ignored until end of transaction block', 'F': 'postgres.c', 'L': '1079', 'R': 'exec_simple_query'}
|
||
[SQL: SELECT embeddings.id AS embeddings_id, embeddings.type AS embeddings_type, embeddings.doc_vers_id AS embeddings_doc_vers_id, embeddings.active AS embeddings_active, embeddings.chunk AS embeddings_chunk
|
||
FROM embeddings
|
||
WHERE embeddings.id IN (NULL) AND (1 != 1)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 10:30:14,722 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 10:30:14,732 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 10:30:14,732 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 10:30:41,297 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Why would I choose ae?. Processing...
|
||
2024-06-12 10:30:41,415 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 10:30:41,557 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x11d01ad80>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x11d0b02c0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x11d0b3260>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x11d0d8d40>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 10:30:41,558 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 10:30:41,558 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 10:30:41,605 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Why would I choose ae?
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2024-06-12 10:30:45,124 [DEBUG] eveai_chat_workers: SQL Statement:
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2024-06-12 10:30:45,135 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 10:30:48,874 [DEBUG] eveai_chat_workers: ask_question: result answer: You should choose AE because they offer a comprehensive range of services and solutions that blend technology, business, and people to help you thrive in a digital world. AE is an end-to-end partner with expertise in various domains, capable of providing both strategic advice and implementation support. They focus on creating a seamless customer experience, improving organizational agility, and hyper-automating document workflows. AE's approach is business-driven, framework-agnostic, and emphasizes co-thinking and co-creation with your teams. Their proven track record and focus on continuous improvement, customer satisfaction, and employee engagement make them a reliable choice for your business needs.
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2024-06-12 10:30:48,875 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 353, 396, 351]
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2024-06-12 10:32:18,271 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
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2024-06-12 10:32:18,287 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 10:32:18,333 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12fcb00b0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12fcb1730>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12fca0770>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12fca22a0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 10:32:18,334 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 10:32:18,334 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 10:32:18,338 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae?
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2024-06-12 10:32:18,673 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 10:32:18,684 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
|
||
LIMIT 5
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||
2024-06-12 10:32:34,931 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services designed to help businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Fueling businesses with creativity and innovation to drive new ideas and growth.
|
||
2. **Strategic Advice**: Providing insightful guidance to navigate business complexities and foster sustainable growth.
|
||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure and technology investments.
|
||
4. **IT Team Extension**: Enhancing team capabilities by providing skilled professionals to complement in-house talent.
|
||
5. **Managed Services**: Handling system maintenance, cybersecurity, and overall IT infrastructure management, allowing businesses to focus on growth.
|
||
6. **Application Development**: Building innovative digital solutions tailored to meet specific business requirements.
|
||
7. **Data & AI**: Leveraging data and artificial intelligence to drive business insights and innovation.
|
||
8. **CIAM (Customer Identity and Access Management)**: Managing customer identities and access to enhance security and user experience.
|
||
9. **Digital Talent & Organisation**: Developing digital talent and organizational strategies to support digital transformation.
|
||
10. **Document Hyperautomation**: Automating document processes to improve efficiency and accuracy.
|
||
11. **Digital Strategy & Innovation**: Crafting digital strategies to foster innovation and business growth.
|
||
12. **Business & IT Architecture**: Designing and implementing business and IT architectures to align with strategic goals.
|
||
13. **IT Delivery & Performance**: Ensuring efficient and effective IT project delivery and performance.
|
||
14. **Cloud & Hybrid Solutions**: Providing cloud and hybrid solutions to enhance IT infrastructure flexibility and scalability.
|
||
|
||
These services are designed to inspire, advise, and support businesses in their digital transformation journeys.
|
||
|
||
2024-06-12 10:32:34,932 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 407, 414, 409]
|
||
2024-06-12 10:33:08,361 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more details on the Digital Strategy and Innovation service?. Processing...
|
||
2024-06-12 10:33:08,374 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 10:33:08,405 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12fca3740>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12fc87cb0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12fc5f8c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12fc5ddf0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 10:33:08,406 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 10:33:08,406 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 10:33:08,415 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give me more details on the Digital Strategy and Innovation service?
|
||
2024-06-12 10:33:08,765 [DEBUG] eveai_chat_workers: SQL Statement:
|
||
|
||
2024-06-12 10:33:08,773 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 10:33:18,573 [DEBUG] eveai_chat_workers: ask_question: result answer: The Digital Strategy and Innovation service focuses on helping companies adapt, optimize, grow, and sometimes reinvent their business by developing innovative business models and well-thought-out strategies that are turned into actionable plans. Key aspects of this service include:
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1. **Translating Strategy to Action**: Helping businesses make their strategies actionable by selecting appropriate priorities and balancing short- and long-term goals.
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2. **Improving Agility**: Enhancing organizational agility to capitalize on opportunities faster, control projects better, predict risks, and become more collaborative and resilient.
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3. **Creating Seamless Customer Experiences**: Assisting companies in delivering consistent, frictionless, personalized, and memorable customer interactions both online and offline.
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4. **Ideating and Exploring New Opportunities**: Looking beyond buzzwords and hype to identify new business opportunities and trending technologies through a pragmatic and hands-on approach.
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5. **Assessing and Improving Digital Maturity**: Providing insights into digital maturity to better align digital initiatives with business goals and prioritize projects based on factual information.
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The methodology involves setting direction by exploring the organization's ecosystem, elaborating the change from a business and IT perspective, and compiling a strategic plan that defines initiatives, business value, costs, and risks. Various tools like interviews, workshops, business capability maps, and reference business & IT architecture are used to support this process.
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Sources: 369, 372, 401, 383, 392
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2024-06-12 10:33:18,574 [DEBUG] eveai_chat_workers: ask_question: result citations: [369, 372, 401, 383, 392]
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2024-06-12 10:59:14,361 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae have an offereing on assessing or improving your digital maturity?. Processing...
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2024-06-12 10:59:14,378 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 10:59:14,412 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12fcb2f00>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x12fcb3530>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x12fc5f5f0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x12fc86ff0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 10:59:14,413 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 10:59:14,413 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 10:59:14,416 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae have an offereing on assessing or improving your digital maturity?
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2024-06-12 10:59:14,734 [DEBUG] eveai_chat_workers: SQL Statement:
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||
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||
2024-06-12 10:59:14,744 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
|
||
LIMIT 5
|
||
2024-06-12 10:59:17,391 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, AE offers a comprehensive framework designed to help companies assess and improve their digital maturity. This framework includes phases such as project intake, evaluating the current state, designing the future state, governance and change management, and elaborating a change plan and budget. It employs various methods like workshops, interviews, surveys, SWOT analysis, and budget estimation tools to gather insights and support decision-making. The goal is to help companies achieve the highest ROI and balance short- and long-term goals through structured change management techniques and effective communication.
|
||
2024-06-12 10:59:17,393 [DEBUG] eveai_chat_workers: ask_question: result citations: [400, 399]
|
||
2024-06-12 11:36:39,578 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 11:36:39,591 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 11:36:39,591 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 11:37:00,442 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main solutions offered by ae?. Processing...
|
||
2024-06-12 11:37:00,506 [ERROR] eveai_chat_workers: ask_question: Error processing question: Working outside of request context.
|
||
|
||
This typically means that you attempted to use functionality that needed
|
||
an active HTTP request. Consult the documentation on testing for
|
||
information about how to avoid this problem.
|
||
2024-06-12 12:05:26,983 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 12:05:26,992 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 12:05:26,992 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 12:05:58,360 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-12 12:05:58,448 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 12:05:58,581 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x1231175f0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1231b4b00>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1231b7b00>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1231d56d0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 12:05:58,582 [ERROR] eveai_chat_workers: ask_question: Error processing question: 1 validation error for EveAIRetriever
|
||
tenant_info
|
||
field required (type=value_error.missing)
|
||
2024-06-12 12:08:01,593 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 12:08:01,602 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 12:08:01,602 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 12:08:33,208 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the mission of ae?. Processing...
|
||
2024-06-12 12:08:33,300 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 12:08:33,435 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x10ec13ce0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x10eca93a0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x10ecd4260>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x10ecd5df0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 12:08:33,436 [ERROR] eveai_chat_workers: ask_question: Error processing question: 1 validation error for EveAIRetriever
|
||
tenant_info
|
||
field required (type=value_error.missing)
|
||
2024-06-12 12:12:38,543 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 12:12:38,553 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 12:12:38,553 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 12:12:55,614 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the mission of ae?. Processing...
|
||
2024-06-12 12:12:55,709 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 12:12:55,845 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x12611b440>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x1261b8aa0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x1261bb890>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x1261dd400>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 12:12:55,845 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 12:12:55,846 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 12:12:55,893 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the mission of ae?
|
||
2024-06-12 12:12:56,342 [DEBUG] eveai_chat_workers: SQL Statement:
|
||
|
||
2024-06-12 12:12:56,353 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 12:12:58,376 [DEBUG] eveai_chat_workers: ask_question: result answer: The mission of AE is to help businesses thrive in a digital world by finding the winning combination of people, processes, and technology to accelerate growth. They aim to blend ICT and business to offer solutions and services that go beyond technology, striving for impactful and seamlessly integrated implementations.
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2024-06-12 12:12:58,377 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
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2024-06-12 14:19:05,757 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the main services offered by ae?. Processing...
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2024-06-12 14:19:05,781 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:19:05,822 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d4d8050>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d4da840>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d4a28a0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d4a0e30>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:19:05,823 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:19:05,823 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:19:05,826 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main services offered by ae?
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2024-06-12 14:19:06,127 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:19:06,139 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:19:13,219 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a variety of services aimed at helping businesses thrive in a digital world. The main services include:
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||
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||
1. **Inspire**: Fueling business creativity and innovation to drive organizations towards new horizons.
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2. **Strategic Advice**: Providing insightful guidance to navigate business complexities and foster sustainable growth.
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||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure and technology investments.
|
||
4. **IT Team Extension**: Enhancing team capabilities by providing skilled professionals to complement in-house talent.
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||
5. **Managed Services**: Taking care of IT infrastructure, including system maintenance and cybersecurity, allowing businesses to focus on growth.
|
||
6. **Application Development**: Building innovative digital solutions to transform ideas into reality.
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||
7. **Data & AI**: Leveraging data and artificial intelligence for business solutions.
|
||
8. **CIAM (Customer Identity and Access Management)**: Managing customer identities and access.
|
||
9. **Digital Talent & Organisation**: Focusing on digital talent and organizational development.
|
||
10. **Document Hyperautomation**: Automating document-related processes.
|
||
11. **Business & IT Architecture**: Designing and implementing business and IT architectures.
|
||
12. **IT Delivery & Performance**: Ensuring efficient IT project delivery and performance.
|
||
13. **Cloud & Hybrid Solutions**: Offering cloud and hybrid IT solutions.
|
||
|
||
These services are designed to inspire, advise, and support businesses in various aspects of their digital transformation journey.
|
||
|
||
2024-06-12 14:19:13,220 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 407, 409, 414]
|
||
2024-06-12 14:19:34,664 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more details on Cloud & Hybrid solutions?. Processing...
|
||
2024-06-12 14:19:34,679 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 14:19:34,723 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d4a0d70>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d48e000>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d45b080>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d438200>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 14:19:34,729 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 14:19:34,730 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 14:19:34,733 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give me more details on Cloud & Hybrid solutions?
|
||
2024-06-12 14:19:35,059 [DEBUG] eveai_chat_workers: SQL Statement:
|
||
|
||
2024-06-12 14:19:35,071 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:19:38,665 [DEBUG] eveai_chat_workers: ask_question: result answer: Cloud & Hybrid solutions focus on adopting a cloud-native strategy to effectively leverage public cloud benefits such as elasticity, resilience, and on-demand self-provisioning. These solutions address challenges like retrofitting legacy applications to cloud-native platforms, navigating cloud capabilities to improve operational processes, and seamlessly supporting business needs. The approach includes choosing the right strategy, implementing a governance framework, optimizing business and IT processes, and reducing operational complexity. AE offers end-to-end support from concept to roll-out, ensuring secure, user-friendly, and budget-compliant digital solutions. They also streamline and secure the software delivery process to enhance quality, reliability, and security.
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2024-06-12 14:19:38,666 [DEBUG] eveai_chat_workers: ask_question: result citations: [405, 406]
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2024-06-12 14:20:14,594 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is a cloud-native strategy?. Processing...
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2024-06-12 14:20:14,609 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:20:14,649 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d4a0e30>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d4d80e0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d4f1d00>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d4da8a0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:20:14,649 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:20:14,650 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:20:14,653 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is a cloud-native strategy?
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2024-06-12 14:20:14,976 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:20:14,991 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:20:17,859 [DEBUG] eveai_chat_workers: ask_question: result answer: A cloud-native strategy involves adopting practices and technologies that transcend traditional boundaries, not only in public cloud environments but also in on-premise, hybrid, and multi-cloud strategies. This approach aims to effectively apply cloud technology to achieve benefits such as elasticity, resilience, and on-demand self-provisioning. It includes choosing the right strategy, implementing a governance framework, optimizing business and IT processes, and reducing operational complexity to meet business needs and support digital transformation efforts.
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2024-06-12 14:20:17,860 [DEBUG] eveai_chat_workers: ask_question: result citations: [405, 406]
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2024-06-12 14:20:49,533 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: what is elasticity?. Processing...
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2024-06-12 14:20:49,548 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:20:49,593 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d43ab10>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d439f10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d46cce0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d411790>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:20:49,593 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:20:49,594 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:20:49,598 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: what is elasticity?
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2024-06-12 14:20:50,044 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:20:50,056 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:20:51,350 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
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2024-06-12 14:20:51,351 [DEBUG] eveai_chat_workers: ask_question: result citations: []
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2024-06-12 14:21:17,716 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is elasticity in context of cloud technology?. Processing...
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2024-06-12 14:21:17,735 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:21:17,773 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d410260>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d410ad0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2f32c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d2f4410>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:21:17,773 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:21:17,774 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:21:17,787 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is elasticity in context of cloud technology?
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2024-06-12 14:21:18,203 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:21:18,216 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:21:20,556 [DEBUG] eveai_chat_workers: ask_question: result answer: Elasticity in the context of cloud technology refers to the ability of a cloud environment to dynamically allocate and deallocate resources as needed to meet varying workloads. This means that resources can be scaled up or down automatically in response to demand, ensuring that applications have the necessary resources to function efficiently without over-provisioning or under-provisioning. This capability is one of the key benefits of public cloud services, providing resilience and on-demand self-provisioning.
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2024-06-12 14:21:20,557 [DEBUG] eveai_chat_workers: ask_question: result citations: [405, 406]
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2024-06-12 14:22:09,288 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give some examples of public cloud services?. Processing...
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2024-06-12 14:22:09,303 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:22:09,343 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d48c800>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d2f0a10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d4a10d0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d410110>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:22:09,344 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:22:09,344 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:22:09,348 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give some examples of public cloud services?
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2024-06-12 14:22:09,659 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:22:09,671 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:22:11,151 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not contain specific examples of public cloud services. Therefore, I have insufficient information to answer this question.
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2024-06-12 14:22:11,152 [DEBUG] eveai_chat_workers: ask_question: result citations: [405, 406, 340, 355, 346]
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2024-06-12 14:49:12,137 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: what are the services offered by ae?. Processing...
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2024-06-12 14:49:12,160 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:49:12,195 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d45a810>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d46fcb0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2f7ad0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d2f60c0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:49:12,195 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:49:12,196 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:49:12,199 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: what are the services offered by ae?
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2024-06-12 14:49:12,545 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 14:49:12,558 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
|
||
LIMIT 5
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2024-06-12 14:49:25,531 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of services designed to help businesses thrive in a digital world. These services include:
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||
|
||
1. **Inspire**: Fueling businesses with creativity and innovation to drive new ideas and growth.
|
||
2. **Strategic Advice**: Providing insightful guidance to navigate business complexities and foster sustainable growth.
|
||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure and technology investments.
|
||
4. **IT Team Extension**: Enhancing team capabilities by providing skilled professionals to complement in-house talent.
|
||
5. **Managed Services**: Handling system maintenance, cybersecurity, and IT infrastructure management to allow businesses to focus on core activities.
|
||
6. **Application Development**: Building innovative digital solutions to transform business ideas into reality.
|
||
7. **Data & AI**: Leveraging data and artificial intelligence to drive business insights and innovation.
|
||
8. **CIAM (Customer Identity and Access Management)**: Managing customer identities and access to improve security and user experience.
|
||
9. **Digital Talent & Organisation**: Developing digital talent and organizational strategies to support business transformation.
|
||
10. **Document Hyperautomation**: Automating document processes to increase efficiency and reduce manual workload.
|
||
11. **Business & IT Architecture**: Designing and implementing business and IT architectures to support strategic goals.
|
||
12. **IT Delivery & Performance**: Ensuring efficient and cost-effective IT project delivery.
|
||
13. **Cloud & Hybrid Solutions**: Providing cloud and hybrid IT solutions to enhance business agility and scalability.
|
||
|
||
These services are designed to inspire, support, and drive business success through technology and strategic innovation.
|
||
2024-06-12 14:49:25,533 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 407, 409, 414]
|
||
2024-06-12 14:50:00,748 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you be more specific on Digital Talent and organisation?. Processing...
|
||
2024-06-12 14:50:00,770 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
|
||
2024-06-12 14:50:00,814 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d2f48f0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d2c8a10>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2c8c50>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d2a1640>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
|
||
2024-06-12 14:50:00,814 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
|
||
2024-06-12 14:50:00,815 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
|
||
2024-06-12 14:50:00,818 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you be more specific on Digital Talent and organisation?
|
||
2024-06-12 14:50:01,146 [DEBUG] eveai_chat_workers: SQL Statement:
|
||
|
||
2024-06-12 14:50:01,159 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:50:05,994 [DEBUG] eveai_chat_workers: ask_question: result answer: To thrive in a digital world, it's essential to focus on more than just technology and business processes. Acquiring digital talent, upskilling and reskilling your workforce, and improving organisational development are crucial to sustainable success. Success lies in harmonising digital strategy, technology, and people. AE's approach ensures that organisations not only succeed today but also build a resilient culture and structure capable of absorbing and embracing future changes. Key challenges in Digital Talent & Organisation include upskilling and reskilling the workforce, creating a learning culture, organisational adaptability, and making employees resilient to change. AE offers solutions such as fostering human capital, upskilling and reskilling digital talent, and improving organisational agility. These services range from providing individual courses to designing complete learning organisations and ecosystems, all aimed at helping organisations continuously reinvent themselves and succeed in a rapidly changing environment.
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2024-06-12 14:50:05,995 [DEBUG] eveai_chat_workers: ask_question: result citations: [344, 345]
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2024-06-12 14:51:17,555 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the offering in upskilling and reskilliing?. Processing...
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2024-06-12 14:51:17,578 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 14:51:17,618 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d2b1070>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d2b16a0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2a38c0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d45b860>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 14:51:17,619 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 14:51:17,619 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 14:51:17,622 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the offering in upskilling and reskilliing?
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2024-06-12 14:51:17,941 [DEBUG] eveai_chat_workers: SQL Statement:
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2024-06-12 14:51:17,953 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 14:51:23,463 [DEBUG] eveai_chat_workers: ask_question: result answer: The offering in upskilling and reskilling includes a comprehensive approach that goes beyond traditional courses and training. It incorporates various methods such as coaching, learning communities, and personalized learning journeys. These programs, typically lasting 6 to 9 months, combine courses, workshops, self-learning, and coaching to train both hard and soft skills. Additionally, bespoke learning solutions tailored to specific organizational needs are available, along with strategic partnerships to foster a culture of continuous learning and create a comprehensive learning community or ecosystem within the company. Specific programs like "Boost your Analysis Skills" and "Boost your Architecture Skills" support aspiring analysts and solution architects through a mix of training, workshops, hybrid learning, community, and coaching, divided into multiple learning modules.
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2024-06-12 14:51:23,465 [DEBUG] eveai_chat_workers: ask_question: result citations: [356, 357, 345, 344, 348]
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2024-06-12 15:00:41,869 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: When was ae founded?. Processing...
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2024-06-12 15:00:41,899 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 15:00:41,939 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d438620>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d43af30>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d4a0bc0>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d4da930>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 15:00:41,940 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 15:00:41,940 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 15:00:41,944 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: When was ae founded?
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2024-06-12 15:00:42,265 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 15:00:42,276 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:00:43,821 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
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2024-06-12 15:00:43,823 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 351, 371, 396, 398]
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2024-06-12 15:06:45,968 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Which services does ae offer in the data domain?. Processing...
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2024-06-12 15:06:45,998 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 15:06:46,038 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d4d9ac0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d46ef90>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2f6f90>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d275d00>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 15:06:46,038 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 15:06:46,039 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 15:06:46,042 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Which services does ae offer in the data domain?
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2024-06-12 15:06:46,656 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 15:06:46,669 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:06:52,185 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a range of services in the data domain, including:
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1. **Data & AI Solutions**: Enabling data products to gain a competitive edge, create business value, lower costs, and mitigate risks. This includes unlocking the value of data, lifting data platforms, and operationalizing ML and AI.
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2. **Data Platform Development**: Building modern data platforms that ingest, process, store, and make data accessible. The platforms are designed to be modular and adaptable to evolving technologies.
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||
3. **Data Strategy and Roadmaps**: Conducting assessments like heatmap exercises to estimate the maturity of data enablers and creating roadmaps to reinforce them.
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4. **Data Governance and Accessibility**: Ensuring data is accessible and governed properly to empower business decisions and growth.
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5. **Customer Journey Mapping and Prototyping**: Using data insights to map customer journeys, design prototypes, and validate them through user testing.
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These services are designed to help businesses become data-driven, improve efficiency, and drive innovation.
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2024-06-12 15:06:52,186 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339, 340, 398]
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2024-06-12 15:07:36,903 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What can you tell me more about Customer Journey Mapping and Prototyping?. Processing...
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2024-06-12 15:07:36,924 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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||
2024-06-12 15:07:36,968 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d26f320>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d26dac0>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2f2600>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d4dbb90>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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||
2024-06-12 15:07:36,968 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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||
2024-06-12 15:07:36,969 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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||
2024-06-12 15:07:36,972 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What can you tell me more about Customer Journey Mapping and Prototyping?
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||
2024-06-12 15:07:37,280 [DEBUG] eveai_chat_workers: SQL Statement:
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||
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||
2024-06-12 15:07:37,295 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:07:40,736 [DEBUG] eveai_chat_workers: ask_question: result answer: Customer Journey Mapping is a visual storyline of every engagement a customer has with your brand, service, or product. It helps in understanding customer processes, needs, and perceptions better. Prototyping involves the design of a mock prototype for service and UX, conducting user testing to validate the desirability of the prototype, and critically assessing its business and technical feasibility. This process ensures that the prototype has clear market value and is feasible for implementation.
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Sources: 398
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2024-06-12 15:07:40,738 [DEBUG] eveai_chat_workers: ask_question: result citations: [398]
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2024-06-12 15:08:15,397 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the importance of data in Customer Journey Mapping?. Processing...
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2024-06-12 15:08:15,415 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 15:08:15,452 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d43ae40>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d438b00>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d275670>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d2a2150>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 15:08:15,452 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 15:08:15,453 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 15:08:15,456 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the importance of data in Customer Journey Mapping?
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2024-06-12 15:08:15,762 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 15:08:15,775 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:08:18,321 [DEBUG] eveai_chat_workers: ask_question: result answer: Data is crucial in Customer Journey Mapping as it helps businesses understand every engagement a customer has with their brand, service, or product. By collecting and analyzing customer data, businesses can gain valuable insights into customer behavior, needs, and perceptions. This enables them to create more informed strategic decisions, improve operational processes, and enhance customer experiences. Effective use of data in customer journey mapping can lead to increased revenue, reduced costs, and higher customer satisfaction.
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2024-06-12 15:08:18,323 [DEBUG] eveai_chat_workers: ask_question: result citations: [398, 346]
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2024-06-12 15:08:44,047 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the typical steps taken in Customer Journey Mapping?. Processing...
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2024-06-12 15:08:44,065 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 15:08:44,101 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d24edb0>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d2b1040>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d259e80>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d258ef0>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 15:08:44,102 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 15:08:44,102 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 15:08:44,105 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the typical steps taken in Customer Journey Mapping?
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2024-06-12 15:08:46,378 [DEBUG] eveai_chat_workers: SQL Statement:
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2024-06-12 15:08:46,387 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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WHERE (document.valid_from IS NULL OR document.valid_from <= '2024-06-12') AND (document.valid_to IS NULL OR document.valid_to >= '2024-06-12') AND (embedding_small_openai.embedding <=> 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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:08:48,862 [DEBUG] eveai_chat_workers: ask_question: result answer: The typical steps taken in Customer Journey Mapping include creating a visual storyline of every engagement a customer has with your brand, service, or product. This process helps in understanding the customer's processes, needs, and perceptions. Additionally, it involves conducting customer research, data analysis, and behavioral analysis to gather evidence-based customer insights. These insights are then used to ideate and validate concepts through workshops and prototyping, followed by preparing for change and implementing the changes in the organization.
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2024-06-12 15:08:48,863 [DEBUG] eveai_chat_workers: ask_question: result citations: [397, 398]
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2024-06-12 15:09:19,683 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is behavioral analysis?. Processing...
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2024-06-12 15:09:19,710 [DEBUG] eveai_chat_workers: ask_question: new_interaction: <Interaction None>
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2024-06-12 15:09:19,750 [DEBUG] eveai_chat_workers: ask_question: model_variables: {'k': 5, 'similarity_threshold': 0.85, 'RAG_temperature': 0.3, 'no_RAG_temperature': 0.5, 'embed_tuning': True, 'rag_tuning': True, 'html_tags': ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'li'], 'html_end_tags': ['p', 'li'], 'html_included_elements': ['main'], 'html_excluded_elements': ['header', 'footer'], 'embedding_model': OpenAIEmbeddings(client=<openai.resources.embeddings.Embeddings object at 0x16d24a000>, async_client=<openai.resources.embeddings.AsyncEmbeddings object at 0x16d24a390>, model='text-embedding-3-small', deployment='text-embedding-ada-002', openai_api_version='', openai_api_base=None, openai_api_type='', openai_proxy='', embedding_ctx_length=8191, openai_api_key='sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7', openai_organization=None, allowed_special=set(), disallowed_special='all', chunk_size=1000, max_retries=2, request_timeout=None, headers=None, tiktoken_enabled=True, tiktoken_model_name=None, show_progress_bar=False, model_kwargs={}, skip_empty=False, default_headers=None, default_query=None, retry_min_seconds=4, retry_max_seconds=20, http_client=None), 'embedding_db_model': <class 'common.models.document.EmbeddingSmallOpenAI'>, 'min_chunk_size': 2000, 'max_chunk_size': 3000, 'llm': ChatOpenAI(client=<openai.resources.chat.completions.Completions object at 0x16d2a3590>, async_client=<openai.resources.chat.completions.AsyncCompletions object at 0x16d2a3290>, model_name='gpt-4o', temperature=0.3, openai_api_key=SecretStr('**********'), openai_proxy=''), 'summary_template': 'Write a concise summary of the text in {language}. The text is delimited between triple backquotes.\n ```{text}```', 'rag_template': 'Answer the question based on the following context, delimited between triple backquotes. \n Use the following {language} in your communication, and cite the sources used.\n If the question cannot be answered using the given context, say "I have insufficient information to answer this question."\n Context:\n ```{context}```\n Question:\n {question}', 'cited_answer_cls': <class 'common.utils.model_utils.CitedAnswer'>}
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2024-06-12 15:09:19,750 [DEBUG] eveai_chat_workers: Initializing EveAIRetriever
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2024-06-12 15:09:19,750 [DEBUG] eveai_chat_workers: EveAIRetriever initialized
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2024-06-12 15:09:19,753 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is behavioral analysis?
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2024-06-12 15:09:20,046 [DEBUG] eveai_chat_workers: SQL Statement:
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||
2024-06-12 15:09:20,059 [DEBUG] eveai_chat_workers: SELECT embedding_small_openai.id, embeddings.id AS id_1, embeddings.type, embeddings.doc_vers_id, embeddings.active, embeddings.chunk, embedding_small_openai.embedding, embedding_small_openai.embedding <=> 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AS distance
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FROM embeddings JOIN embedding_small_openai ON embeddings.id = embedding_small_openai.id JOIN document_version ON embeddings.doc_vers_id = document_version.id JOIN document ON document_version.doc_id = document.id JOIN (SELECT document_version.doc_id AS doc_id, max(document_version.id) AS latest_version_id
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FROM document_version GROUP BY document_version.doc_id) AS anon_1 ON document_version.id = anon_1.latest_version_id
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< 0.85 ORDER BY distance
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LIMIT 5
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2024-06-12 15:09:21,377 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
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2024-06-12 15:09:21,378 [DEBUG] eveai_chat_workers: ask_question: result citations: []
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2024-06-12 17:13:32,687 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-12 17:13:32,765 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-12 17:13:32,765 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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2024-06-12 17:14:08,457 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
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2024-06-12 17:14:08,754 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
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||
2024-06-12 17:14:09,172 [ERROR] eveai_chat_workers: ask_question: Error processing question: string indices must be integers, not 'str'
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2024-06-12 17:18:22,868 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:18:22,878 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 17:18:22,878 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 17:18:43,507 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-12 17:18:43,782 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-12 17:18:47,816 [DEBUG] eveai_chat_workers: Tenant Info: cb859984-1fa6-4ca2-b7a6-109d10a07994
|
||
2024-06-12 17:18:47,819 [ERROR] eveai_chat_workers: ask_question: Error processing question: string indices must be integers, not 'str'
|
||
2024-06-12 17:21:32,150 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:21:32,159 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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||
2024-06-12 17:21:32,159 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
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2024-06-12 17:21:52,141 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-12 17:21:52,391 [DEBUG] eveai_chat_workers: Tenant Info: a6912a5c-ac4b-48bb-ad84-680a098c29a3
|
||
2024-06-12 17:21:52,431 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-12 17:21:55,891 [ERROR] eveai_chat_workers: ask_question: Error processing question: string indices must be integers, not 'str'
|
||
2024-06-12 17:23:21,861 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:23:21,871 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 17:23:21,871 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 17:23:38,203 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-12 17:23:38,480 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the solutions offered by ae?
|
||
2024-06-12 17:23:38,481 [ERROR] eveai_chat_workers: ask_question: Error processing question: type object 'Interaction' has no attribute 'timestamp'
|
||
2024-06-12 17:24:34,451 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:24:34,462 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 17:24:34,462 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 17:24:54,641 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-12 17:24:54,914 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the solutions offered by ae?
|
||
2024-06-12 17:24:54,919 [ERROR] eveai_chat_workers: Error retrieving history of interactions: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42703', 'M': 'column interaction.detailed_question does not exist', 'P': '148', 'F': 'parse_relation.c', 'L': '3657', 'R': 'errorMissingColumn'}
|
||
[SQL: SELECT interaction.id AS interaction_id, interaction.chat_session_id AS interaction_chat_session_id, interaction.question AS interaction_question, interaction.detailed_question AS interaction_detailed_question, interaction.answer AS interaction_answer, interaction.algorithm_used AS interaction_algorithm_used, interaction.language AS interaction_language, interaction.appreciation AS interaction_appreciation, interaction.question_at AS interaction_question_at, interaction.detailed_question_at AS interaction_detailed_question_at, interaction.answer_at AS interaction_answer_at
|
||
FROM interaction JOIN chat_session ON interaction.chat_session_id = chat_session.id
|
||
WHERE chat_session.session_id = %s::VARCHAR ORDER BY interaction.id ASC]
|
||
[parameters: ('c5d69f81-e159-4f52-ba1d-677a581d81ce',)]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 17:24:55,983 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the solutions offered by ae?
|
||
|
||
Detailed question: What are the solutions offered by AE (assuming AE is a company or organization)?
|
||
2024-06-12 17:24:55,994 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-12 17:25:00,625 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of solutions designed to help businesses thrive in a digital world. These solutions include Data & AI, CIAM (Customer Identity and Access Management), Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid. Additionally, AE provides specific solutions such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.
|
||
2024-06-12 17:25:00,628 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-12 17:25:00,668 [ERROR] eveai_chat_workers: ask_question: Error saving interaction to database: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42703', 'M': 'column "detailed_question" of relation "interaction" does not exist', 'P': '53', 'F': 'parse_target.c', 'L': '1080', 'R': 'checkInsertTargets'}
|
||
[SQL: INSERT INTO interaction (chat_session_id, question, detailed_question, answer, algorithm_used, language, appreciation, question_at, detailed_question_at, answer_at) VALUES (%s::INTEGER, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::INTEGER, %s::TIMESTAMP WITHOUT TIME ZONE, %s::TIMESTAMP WITHOUT TIME ZONE, %s::TIMESTAMP WITHOUT TIME ZONE) RETURNING interaction.id]
|
||
[parameters: (37, 'What are the solutions offered by ae?', 'What are the solutions offered by AE (assuming AE is a company or organization)?', 'AE offers a wide range of solutions designed to help businesses thrive in a digital world. These solutions include Data & AI, CIAM (Customer Identity ... (202 characters truncated) ... Additionally, AE provides specific solutions such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.', 'RAG_TENANT', 'en', 100, datetime.datetime(2024, 6, 12, 15, 24, 54, 750307, tzinfo=datetime.timezone.utc), datetime.datetime(2024, 6, 12, 15, 24, 55, 985004, tzinfo=datetime.timezone.utc), datetime.datetime(2024, 6, 12, 15, 25, 0, 649598, tzinfo=datetime.timezone.utc))]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 17:25:00,669 [ERROR] eveai_chat_workers: ask_question: Error processing question: (pg8000.dbapi.ProgrammingError) {'S': 'ERROR', 'V': 'ERROR', 'C': '42703', 'M': 'column "detailed_question" of relation "interaction" does not exist', 'P': '53', 'F': 'parse_target.c', 'L': '1080', 'R': 'checkInsertTargets'}
|
||
[SQL: INSERT INTO interaction (chat_session_id, question, detailed_question, answer, algorithm_used, language, appreciation, question_at, detailed_question_at, answer_at) VALUES (%s::INTEGER, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::VARCHAR, %s::INTEGER, %s::TIMESTAMP WITHOUT TIME ZONE, %s::TIMESTAMP WITHOUT TIME ZONE, %s::TIMESTAMP WITHOUT TIME ZONE) RETURNING interaction.id]
|
||
[parameters: (37, 'What are the solutions offered by ae?', 'What are the solutions offered by AE (assuming AE is a company or organization)?', 'AE offers a wide range of solutions designed to help businesses thrive in a digital world. These solutions include Data & AI, CIAM (Customer Identity ... (202 characters truncated) ... Additionally, AE provides specific solutions such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.', 'RAG_TENANT', 'en', 100, datetime.datetime(2024, 6, 12, 15, 24, 54, 750307, tzinfo=datetime.timezone.utc), datetime.datetime(2024, 6, 12, 15, 24, 55, 985004, tzinfo=datetime.timezone.utc), datetime.datetime(2024, 6, 12, 15, 25, 0, 649598, tzinfo=datetime.timezone.utc))]
|
||
(Background on this error at: https://sqlalche.me/e/20/f405)
|
||
2024-06-12 17:27:13,050 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:27:13,059 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 17:27:13,059 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 17:27:34,810 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-12 17:27:35,086 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the solutions offered by ae?
|
||
2024-06-12 17:27:39,488 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the solutions offered by ae?
|
||
|
||
Detailed question: What are the solutions offered by AE (assuming AE is a company or organization)?
|
||
2024-06-12 17:27:39,499 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae?
|
||
2024-06-12 17:27:47,277 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a wide range of solutions designed to help businesses thrive in a digital world. These solutions include:
|
||
|
||
1. **Data & AI**: Leveraging data and artificial intelligence to drive business insights and innovation.
|
||
2. **CIAM (Customer Identity and Access Management)**: Ensuring secure and seamless customer interactions.
|
||
3. **Digital Talent & Organisation**: Upskilling and reskilling digital talent to stay relevant in the evolving job market.
|
||
4. **Document Hyperautomation**: Automating document workflows to enhance efficiency and reduce manual tasks.
|
||
5. **Applications**: Developing custom applications to meet specific business needs.
|
||
6. **Digital Strategy & Innovation**: Translating business strategies into actionable digital solutions.
|
||
7. **Business & IT Architecture**: Designing and implementing robust IT architectures that align with business goals.
|
||
8. **IT Delivery & Performance**: Ensuring efficient and cost-effective IT project delivery.
|
||
9. **Cloud & Hybrid**: Offering cloud and hybrid solutions to optimize IT infrastructure.
|
||
|
||
These solutions are supported by various services such as strategic advice, IT consultancy, managed services, and application development.
|
||
|
||
Sources: 334, 398, 371, 357, 353
|
||
2024-06-12 17:27:47,280 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 357, 353]
|
||
2024-06-12 17:28:24,736 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give more details on solution 5?. Processing...
|
||
2024-06-12 17:28:24,804 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give more details on solution 5?
|
||
2024-06-12 17:28:26,181 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give more details on solution 5?
|
||
|
||
Detailed question: Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how they meet specific business needs?
|
||
2024-06-12 17:28:26,192 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give more details on solution 5?
|
||
2024-06-12 17:28:30,071 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 17:28:30,073 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 17:29:50,157 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how they meet specific business needs?. Processing...
|
||
2024-06-12 17:29:50,222 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how they meet specific business needs?
|
||
2024-06-12 17:29:51,788 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how they meet specific business needs?
|
||
|
||
Detailed question: Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how these solutions are tailored to meet the unique and specific needs of different businesses?
|
||
2024-06-12 17:29:51,801 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details on the custom application development solutions offered by AE, specifically focusing on how they meet specific business needs?
|
||
2024-06-12 17:30:11,095 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers comprehensive custom application development solutions designed to meet specific business needs by focusing on several key areas:
|
||
|
||
1. **Strategy to Application**: AE helps businesses move from strategy to application by right-sizing their strategy, building robust applications, and ensuring support after launch. This ensures that the digital solutions are aligned with the business goals and strategies (Source: 355, 354).
|
||
|
||
2. **Future-Proof Applications**: AE develops future-proof applications that are secure, user-friendly, and scalable. These applications are designed to adapt to changing market conditions and customer feedback, ensuring they evolve with the business (Source: 355, 354).
|
||
|
||
3. **Quality and Speed**: AE focuses on delivering high-quality applications quickly. They streamline and secure the software delivery process, increasing the quality, reliability, and security of the applications, making the organization safer and more efficient (Source: 355, 354).
|
||
|
||
4. **End-to-End Partnership**: AE offers a true end-to-end partnership, helping businesses from concept to roll-out and even with managed services afterwards. This includes a clear methodology that is flexible to work with the client's preferred way of working, whether it be team-as-a-service, solution-as-a-service, or hybrid teams (Source: 355, 354).
|
||
|
||
5. **Customer-Centric Approach**: AE's methodology includes phases like Think, Build, and Run, ensuring the digital solutions are user-friendly, secure, and delivered on time and within budget. They use agile methods, test automation, and maintain user-centricity to meet user needs and maximize value (Source: 371).
|
||
|
||
6. **Increased Revenue and Reduced Costs**: By delivering qualitative applications, AE helps businesses increase revenue through better customer experiences and reduce costs through efficient and secure software delivery processes (Source: 355, 354).
|
||
|
||
These solutions ensure that AE can meet the specific business needs of their clients by providing robust, scalable, and user-friendly applications that align with their strategic goals.
|
||
2024-06-12 17:30:11,097 [DEBUG] eveai_chat_workers: ask_question: result citations: [355, 354, 371]
|
||
2024-06-12 17:30:47,230 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is solutiion 9?. Processing...
|
||
2024-06-12 17:30:47,293 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is solutiion 9?
|
||
2024-06-12 17:30:48,543 [DEBUG] eveai_chat_workers: Original question:
|
||
What is solutiion 9?
|
||
|
||
Detailed question: What is the "Cloud & Hybrid" solution offered by AE, and how does it help businesses optimize their IT infrastructure?
|
||
2024-06-12 17:30:48,552 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is solutiion 9?
|
||
2024-06-12 17:30:50,341 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-12 17:30:50,343 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-12 17:32:18,865 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-12 17:32:18,875 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-12 17:32:18,876 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-12 17:32:48,161 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me an overview of the solutions offered by ae?. Processing...
|
||
2024-06-12 17:32:48,439 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me an overview of the solutions offered by ae?
|
||
2024-06-12 17:32:52,600 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me an overview of the solutions offered by ae?
|
||
|
||
Detailed question: Can you provide an overview of the solutions offered by the company AE?
|
||
2024-06-12 17:32:52,611 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide an overview of the solutions offered by the company AE?
|
||
2024-06-12 17:32:59,107 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a range of solutions designed to help businesses thrive in a digital world. Their solutions include:
|
||
|
||
1. **Data & AI**: Leveraging data and artificial intelligence to drive business insights and innovation.
|
||
2. **CIAM**: Customer Identity and Access Management solutions to secure and manage user identities.
|
||
3. **Digital Talent & Organisation**: Helping organizations attract, develop, and retain digital talent.
|
||
4. **Document Hyperautomation**: Automating document-related processes to improve efficiency and accuracy.
|
||
5. **Applications**: Developing custom applications tailored to business needs.
|
||
6. **Digital Strategy & Innovation**: Crafting and implementing digital strategies to foster innovation.
|
||
7. **Business & IT Architecture**: Designing and optimizing business and IT architectures for better alignment and performance.
|
||
8. **IT Delivery & Performance**: Ensuring efficient and effective IT project delivery and performance.
|
||
9. **Cloud & Hybrid**: Providing cloud and hybrid solutions to enhance scalability and flexibility.
|
||
|
||
These solutions are aimed at addressing various business challenges and driving growth through the integration of technology, business processes, and people.
|
||
|
||
2024-06-12 17:32:59,109 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-12 17:33:13,902 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give more details on nr 1?. Processing...
|
||
2024-06-12 17:33:13,964 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give more details on nr 1?
|
||
2024-06-12 17:33:14,853 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give more details on nr 1?
|
||
|
||
Detailed question: Can you provide more details on the "Data & AI" solutions offered by the company AE?
|
||
2024-06-12 17:33:14,864 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details on the "Data & AI" solutions offered by the company AE?
|
||
2024-06-12 17:33:24,898 [DEBUG] eveai_chat_workers: ask_question: result answer: AE offers a range of Data & AI solutions designed to help businesses unlock the value of their data and gain a competitive edge. Their approach includes the following key components:
|
||
|
||
1. **Unlock the Value of Your Data**: AE helps businesses extract valuable insights from their data, driving informed decisions and propelling growth. This involves collecting, consolidating, and organizing data to create a future-proof, secure, and user-friendly data platform.
|
||
|
||
2. **Data Product Realization**: AE begins by realizing a data product from one or more business cases with a clear ROI. This provides insights into the maturity of various data enablers, which can then be strengthened together.
|
||
|
||
3. **Assessment and Roadmap**: AE can start with an assessment, including a heatmap exercise to estimate the maturity of data enablers. From there, they draw a final destination and create a roadmap to reinforce these enablers.
|
||
|
||
4. **Key Data Enablers**: AE focuses on several important data enablers, including Leadership & Culture, Data Infrastructure and Technology, Operationalization of ML and AI, Data Accessibility, and Data Governance.
|
||
|
||
5. **Methodology**: AE's methodology involves aligning on business cases, exploring proof of value, and applying solutions. This includes ideation sessions, building prototypes, and designing integration processes.
|
||
|
||
6. **Training and Coaching**: AE invests in training and coaching to ensure that client teams can maintain, improve, and develop new data products.
|
||
|
||
7. **End-to-End Partnership**: AE positions itself as a true end-to-end partner, focusing on ROI and providing more than just technology solutions.
|
||
|
||
These solutions are designed to improve business insights, increase revenue, reduce costs, and foster innovation and agility.
|
||
|
||
Sources: 338, 339, 337
|
||
2024-06-12 17:33:24,901 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339, 337]
|
||
2024-06-12 17:33:51,165 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more information on the key data enablers?. Processing...
|
||
2024-06-12 17:33:51,229 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me more information on the key data enablers?
|
||
2024-06-12 17:33:52,197 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me more information on the key data enablers?
|
||
|
||
Detailed question: Can you provide more information on the key data enablers that AE focuses on as part of their Data & AI solutions?
|
||
2024-06-12 17:33:52,210 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more information on the key data enablers that AE focuses on as part of their Data & AI solutions?
|
||
2024-06-12 17:33:57,496 [DEBUG] eveai_chat_workers: ask_question: result answer: AE focuses on several key data enablers as part of their Data & AI solutions. These include:
|
||
|
||
1. **Leadership & Culture**: Ensuring that leadership and organizational culture are aligned with data-driven initiatives.
|
||
2. **Data Infrastructure and Technology**: Building and maintaining the necessary technological infrastructure to support data activities.
|
||
3. **Operationalisation of ML and AI**: Implementing machine learning and artificial intelligence in operational processes.
|
||
4. **Data Accessibility**: Making data easily accessible to those who need it within the organization.
|
||
5. **Data Governance**: Establishing policies and procedures to manage data quality, security, and privacy.
|
||
|
||
These enablers help organizations unlock the value of their data and drive informed decision-making and growth.
|
||
2024-06-12 17:33:57,499 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339]
|
||
2024-06-13 11:05:14,106 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can ae help me build applications?. Processing...
|
||
2024-06-13 11:05:14,175 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can ae help me build applications?
|
||
2024-06-13 11:05:14,952 [DEBUG] eveai_chat_workers: Original question:
|
||
Can ae help me build applications?
|
||
|
||
Detailed question: Can artificial intelligence (AI) help me build applications?
|
||
2024-06-13 11:05:14,965 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can artificial intelligence (AI) help me build applications?
|
||
2024-06-13 11:05:17,728 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, artificial intelligence (AI) can help you build applications. AI technologies, such as machine learning and natural language processing, can automate various tasks and enhance the functionality of applications. For instance, AI can analyze raw data and generate natural language reports, plan and navigate tasks in physical environments, and even suggest treatments for medical conditions based on extensive research data. These capabilities can be integrated into applications to improve efficiency, accuracy, and user experience.
|
||
2024-06-13 11:05:17,730 [DEBUG] eveai_chat_workers: ask_question: result citations: [359, 363]
|
||
2024-06-13 11:05:56,772 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: My question was how ae can help me build applications?. Processing...
|
||
2024-06-13 11:05:56,837 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: My question was how ae can help me build applications?
|
||
2024-06-13 11:05:57,893 [DEBUG] eveai_chat_workers: Original question:
|
||
My question was how ae can help me build applications?
|
||
|
||
Detailed question: Your question was how artificial intelligence (AI) can help you build applications?
|
||
2024-06-13 11:05:57,902 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Your question was how artificial intelligence (AI) can help you build applications?
|
||
2024-06-13 11:06:00,822 [DEBUG] eveai_chat_workers: ask_question: result answer: The context provided does not directly address how artificial intelligence (AI) can help you build applications. It discusses the transformative potential of AI and advanced robotics in the workplace, the automation of work activities, and the benefits of hyper-automation for document workflows. However, it does not specifically explain how AI can be used in the application development process.
|
||
2024-06-13 11:06:00,824 [DEBUG] eveai_chat_workers: ask_question: result citations: [359, 363, 353]
|
||
2024-06-13 11:06:17,748 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offerd by ae?. Processing...
|
||
2024-06-13 11:06:17,806 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offerd by ae?
|
||
2024-06-13 11:06:18,493 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offerd by ae?
|
||
|
||
Detailed question: What are the services offered by artificial intelligence (AI) for building applications?
|
||
2024-06-13 11:06:18,503 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by artificial intelligence (AI) for building applications?
|
||
2024-06-13 11:06:19,825 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-13 11:06:19,827 [DEBUG] eveai_chat_workers: ask_question: result citations: [339, 338, 359, 363, 353]
|
||
2024-06-13 11:06:49,588 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-13 11:06:49,658 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-13 11:06:50,344 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by American Express (AE)?
|
||
2024-06-13 11:06:50,354 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by American Express (AE)?
|
||
2024-06-13 11:06:52,078 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-13 11:06:52,080 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 407, 412, 414]
|
||
2024-06-13 11:07:15,954 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: I don't understand. Why do you have insufficient information?. Processing...
|
||
2024-06-13 11:07:16,033 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: I don't understand. Why do you have insufficient information?
|
||
2024-06-13 11:07:17,209 [DEBUG] eveai_chat_workers: Original question:
|
||
I don't understand. Why do you have insufficient information?
|
||
|
||
Detailed question: Why do you have insufficient information to answer the question about the services offered by American Express (AE)?
|
||
2024-06-13 11:07:17,220 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Why do you have insufficient information to answer the question about the services offered by American Express (AE)?
|
||
2024-06-13 11:07:20,144 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question because the provided context does not mention American Express (AE) or its services. The context discusses various business services such as Inspire, Strategic Advice, IT Consultancy, IT Team Extension, Managed Services, and Application Development, but it does not specify that these services are offered by American Express.
|
||
2024-06-13 11:07:20,145 [DEBUG] eveai_chat_workers: ask_question: result citations: [414, 407, 412, 408, 409]
|
||
2024-06-13 11:43:02,048 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-13 11:43:02,119 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-13 11:43:02,829 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by American Express (AE)?
|
||
2024-06-13 11:43:02,841 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by American Express (AE)?
|
||
2024-06-13 11:43:05,265 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-13 11:43:05,268 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 407, 412, 414]
|
||
2024-06-13 13:36:03,998 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-13 13:36:04,007 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-13 13:36:04,007 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-13 13:36:28,606 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-13 13:36:28,856 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'llm_rag'
|
||
2024-06-13 13:37:12,966 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-13 13:37:12,976 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-13 13:37:12,976 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-13 13:37:31,261 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-13 13:37:31,550 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-13 13:37:35,411 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by application engineers (ae), a company based in Flanders, Belgium?
|
||
2024-06-13 13:37:35,423 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by application engineers (ae), a company based in Flanders, Belgium?
|
||
2024-06-13 13:37:40,912 [DEBUG] eveai_chat_workers: ask_question: result answer: Application engineers (ae), based in Flanders, Belgium, offer a wide range of services designed to help businesses thrive in a digital world. Their services include:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help businesses learn, grow, and break out of their comfort zones.
|
||
2. **IT Team Extension**: Offering access to an entire AE team with diverse skill sets to contribute to project success.
|
||
3. **Strategic Advice**: Delivering strategic advice and innovative thinking that aligns with business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Managing and maintaining all or part of a business's software and/or infrastructure, allowing the business to focus on its core activities.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery through skilled IT experts.
|
||
6. **Application Development**: Transforming ideas into reality with innovative digital solutions through their Digital Studio.
|
||
|
||
Additionally, AE provides solutions in various areas such as Data & AI, CIAM, Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, and Cloud & Hybrid solutions.
|
||
|
||
They also offer a comprehensive approach to developing digital solutions through their Think, Build & Run methodology, which includes service design, agile development, and ongoing growth and partnership.
|
||
|
||
Sources: 334, 355, 354, 371
|
||
2024-06-13 13:37:40,915 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 355, 354, 371]
|
||
2024-06-13 13:38:16,592 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more details about 4?. Processing...
|
||
2024-06-13 13:38:16,669 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me more details about 4?
|
||
2024-06-13 13:38:17,793 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me more details about 4?
|
||
|
||
Detailed question: Can you give me more details about the Managed Services offered by application engineers (ae), a company based in Flanders, Belgium?
|
||
2024-06-13 13:38:17,804 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give me more details about the Managed Services offered by application engineers (ae), a company based in Flanders, Belgium?
|
||
2024-06-13 13:38:20,126 [DEBUG] eveai_chat_workers: ask_question: result answer: Application engineers (ae) offer Managed Services designed to allow businesses to focus on their core activities while ae handles the management and maintenance of all or part of their software and/or infrastructure. This service ensures peace of mind by taking care of system maintenance and cybersecurity, among other IT infrastructure needs. By opting for ae's Managed Services, businesses can benefit from a reliable and secure IT environment, which supports their growth and operational efficiency.
|
||
2024-06-13 13:38:20,128 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 407]
|
||
2024-06-13 15:29:11,720 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-13 15:29:11,800 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the solutions offered by ae?
|
||
2024-06-13 15:29:12,731 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the solutions offered by ae?
|
||
|
||
Detailed question: What are the solutions offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-13 15:29:12,737 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the solutions offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-13 15:29:16,990 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of solutions that blend ICT and business to help organizations thrive in a digital world. Their solutions include:
|
||
|
||
1. **Data & AI**
|
||
2. **CIAM (Customer Identity and Access Management)**
|
||
3. **Digital Talent & Organisation**
|
||
4. **Document Hyperautomation**
|
||
5. **Applications**
|
||
6. **Digital Strategy & Innovation**
|
||
7. **Business & IT Architecture**
|
||
8. **IT Delivery & Performance**
|
||
9. **Cloud & Hybrid**
|
||
|
||
Additionally, ae offers specific solutions such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.
|
||
|
||
These solutions are designed to provide strategic advice, IT consultancy, application development, managed services, and IT team extension to ensure efficient and cost-effective project delivery.
|
||
|
||
Sources: 334, 354, 355
|
||
2024-06-13 15:29:16,993 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 354, 355]
|
||
2024-06-13 15:38:24,359 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-13 15:38:24,368 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-13 15:38:24,368 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-13 15:42:43,826 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What does ae offer in the Data domain?. Processing...
|
||
2024-06-13 15:42:44,104 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What does ae offer in the Data domain?
|
||
2024-06-13 15:42:48,414 [DEBUG] eveai_chat_workers: Original question:
|
||
What does ae offer in the Data domain?
|
||
|
||
Detailed question: What services and solutions does ae, a company based in Flanders, Belgium, offer in the Data domain?
|
||
2024-06-13 15:42:48,424 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services and solutions does ae, a company based in Flanders, Belgium, offer in the Data domain?
|
||
2024-06-13 15:42:59,236 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a variety of services and solutions in the Data domain, including:
|
||
|
||
1. **Data & AI Solutions**: These solutions help unlock the value of data, empowering businesses by extracting valuable insights, driving informed decisions, and propelling growth. This includes operationalizing machine learning (ML) and artificial intelligence (AI), improving data accessibility, and enhancing data governance.
|
||
|
||
2. **Modern Data Platforms**: ae builds modern data platforms that ingest, process, store, and make data available for use. These platforms are designed to be modular, allowing for component swaps as technologies evolve. The platforms aim to reduce the time to data insights, empower teams, productize data, and automate work.
|
||
|
||
3. **Data Strategy and Implementation**: ae helps organizations develop and implement data strategies tailored to their needs. This involves conducting qualitative interviews to understand business needs, implementing data platforms using platform accelerators, and proving the platform's business value through real business cases.
|
||
|
||
4. **Data Product Realization**: ae can realize data products from one or more business cases with a clear return on investment (ROI). This approach provides insights into the maturity of various data enablers, which can then be strengthened.
|
||
|
||
5. **Data Maturity Assessment**: ae offers assessments to estimate the maturity of an organization's data enablers through heatmap exercises. This helps in drawing a roadmap to reinforce these enablers.
|
||
|
||
6. **Cloud-native Technologies and Security**: ae selects technologies based on specific organizational needs, focusing on cloud-native solutions and prioritizing security.
|
||
|
||
These services and solutions are designed to help businesses gain a competitive edge, create real business value, lower costs, and mitigate risks by enabling their data products.
|
||
|
||
Sources: 340, 338
|
||
2024-06-13 15:42:59,238 [DEBUG] eveai_chat_workers: ask_question: result citations: [340, 338]
|
||
2024-06-13 15:45:00,302 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae offer services in the cloud?. Processing...
|
||
2024-06-13 15:45:00,381 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae offer services in the cloud?
|
||
2024-06-13 15:45:01,130 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae offer services in the cloud?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, offer cloud services?
|
||
2024-06-13 15:45:01,138 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, offer cloud services?
|
||
2024-06-13 15:45:04,767 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae offers cloud services. They provide solutions for cloud and hybrid environments, including strategies for cloud-native adoption, governance frameworks, and optimization of business and IT processes. They also help with retrofitting legacy applications to cloud-native platforms and streamlining and securing software delivery processes.
|
||
|
||
Their cloud services are designed to ensure secure, user-friendly digital solutions delivered on time and within budget. ae positions itself as a true end-to-end partner with expertise in applications and cloud-native environments.
|
||
|
||
Sources: 334, 405
|
||
2024-06-13 15:45:04,769 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 405]
|
||
2024-06-13 15:47:01,303 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is the mission of ae?. Processing...
|
||
2024-06-13 15:47:01,392 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is the mission of ae?
|
||
2024-06-13 15:47:02,287 [DEBUG] eveai_chat_workers: Original question:
|
||
What is the mission of ae?
|
||
|
||
Detailed question: What is the mission of ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-13 15:47:02,301 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the mission of ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-13 15:47:04,661 [DEBUG] eveai_chat_workers: ask_question: result answer: The mission of ae, a company based in Flanders, Belgium, is to help businesses thrive in a digital world by finding the winning combination of people, processes, and technology to accelerate growth. Positioned at the crossroads of technology, business, and people, ae aims to offer solutions and services that go beyond technology, striving for impactful company-wide implementations and highly specific expert solutions seamlessly integrated into the operational landscape.
|
||
2024-06-13 15:47:04,663 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-13 15:48:42,497 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Which services does ae have on reskilling?. Processing...
|
||
2024-06-13 15:48:42,562 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Which services does ae have on reskilling?
|
||
2024-06-13 15:48:43,531 [DEBUG] eveai_chat_workers: Original question:
|
||
Which services does ae have on reskilling?
|
||
|
||
Detailed question: What services does ae, a company based in Flanders, Belgium, offer for reskilling?
|
||
2024-06-13 15:48:43,540 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services does ae, a company based in Flanders, Belgium, offer for reskilling?
|
||
2024-06-13 15:48:49,545 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a comprehensive range of services for reskilling digital talent. These include individual courses, personalized learning journeys, bespoke learning solutions, and the establishment of a learning organization and ecosystem. The learning journeys typically last 6 to 9 months and combine courses, workshops, self-learning, and coaching to train both hard and soft skills. Additionally, ae provides tailored learning solutions that incorporate subject matter content, methods, and frameworks specific to an organization's needs. They also help foster a culture of continuous learning and improve organizational adaptability and agility.
|
||
|
||
Sources: 344, 345, 356, 357
|
||
2024-06-13 15:48:49,547 [DEBUG] eveai_chat_workers: ask_question: result citations: [344, 345, 356, 357]
|
||
2024-06-13 15:51:09,041 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: I have a need to reskill my employees. Can ae help me out?. Processing...
|
||
2024-06-13 15:51:09,129 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: I have a need to reskill my employees. Can ae help me out?
|
||
2024-06-13 15:51:10,472 [DEBUG] eveai_chat_workers: Original question:
|
||
I have a need to reskill my employees. Can ae help me out?
|
||
|
||
Detailed question: Can ae, a company based in Flanders, Belgium, assist me in reskilling my employees?
|
||
2024-06-13 15:51:10,485 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can ae, a company based in Flanders, Belgium, assist me in reskilling my employees?
|
||
2024-06-13 15:51:13,156 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae can assist you in reskilling your employees. They offer a comprehensive approach to upskill and reskill digital talent, which includes individual courses, learning journeys, bespoke learning solutions, and the establishment of a learning organisation and ecosystem. Their programs combine courses, workshops, self-learning, and coaching to train both hard and soft skills, and they can tailor these solutions to meet specific organizational needs.
|
||
|
||
Sources: 357, 345, 344, 356
|
||
2024-06-13 15:51:13,159 [DEBUG] eveai_chat_workers: ask_question: result citations: [357, 345, 344, 356]
|
||
2024-06-13 15:56:15,017 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae offer AI solutions?. Processing...
|
||
2024-06-13 15:56:15,113 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae offer AI solutions?
|
||
2024-06-13 15:56:15,939 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae offer AI solutions?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, offer artificial intelligence (AI) solutions?
|
||
2024-06-13 15:56:15,950 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, offer artificial intelligence (AI) solutions?
|
||
2024-06-13 15:56:18,610 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae, a company based in Flanders, Belgium, offers artificial intelligence (AI) solutions. They focus on enabling data products, operationalizing machine learning (ML) and AI, and providing data-driven insights to empower businesses and drive growth.
|
||
2024-06-13 15:56:18,612 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339]
|
||
2024-06-13 15:57:30,733 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae offer projectmanagers?. Processing...
|
||
2024-06-13 15:57:30,818 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae offer projectmanagers?
|
||
2024-06-13 15:57:32,212 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae offer projectmanagers?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, offer project managers as part of their services?
|
||
2024-06-13 15:57:32,223 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, offer project managers as part of their services?
|
||
2024-06-13 15:57:33,373 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-13 15:57:33,375 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-13 15:58:06,675 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: How does ae support business & IT alignment?. Processing...
|
||
2024-06-13 15:58:06,745 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: How does ae support business & IT alignment?
|
||
2024-06-13 15:58:08,289 [DEBUG] eveai_chat_workers: Original question:
|
||
How does ae support business & IT alignment?
|
||
|
||
Detailed question: How does ae, a company based in Flanders, Belgium, support business and IT alignment?
|
||
2024-06-13 15:58:08,301 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: How does ae, a company based in Flanders, Belgium, support business and IT alignment?
|
||
2024-06-13 15:58:13,846 [DEBUG] eveai_chat_workers: ask_question: result answer: ae supports business and IT alignment through a variety of services and methodologies designed to integrate technology, business, and people. Positioned at the crossroads of these domains, ae offers solutions that go beyond technology to address broader business challenges. Their services include strategic advice, IT consultancy, and managed services, which help businesses navigate challenges and identify growth opportunities. Additionally, ae provides application development and IT team extension services to ensure that IT projects align with business goals and are delivered efficiently. They also emphasize co-thinking and co-creation with client teams to ensure that strategies are aligned and effectively implemented. Furthermore, ae's methodologies for improving organizational agility and re-architecting enterprise landscapes focus on aligning business strategies with IT capabilities, ensuring that both are in sync to drive growth and efficiency [Sources: 334, 396, 404].
|
||
2024-06-13 15:58:13,848 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 396, 404]
|
||
2024-06-13 16:15:55,245 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae offer specific services in the Finances domain?. Processing...
|
||
2024-06-13 16:15:55,326 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae offer specific services in the Finances domain?
|
||
2024-06-13 16:15:56,212 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae offer specific services in the Finances domain?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, offer specific services in the Finances domain?
|
||
2024-06-13 16:15:56,225 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, offer specific services in the Finances domain?
|
||
2024-06-13 16:15:57,621 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-13 16:15:57,623 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 414, 407]
|
||
2024-06-14 06:19:20,179 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 06:19:20,188 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 06:19:20,188 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 06:55:03,159 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Hi Eve, I'm wondering what services ae has to offer?. Processing...
|
||
2024-06-14 06:55:03,445 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Hi Eve, I'm wondering what services ae has to offer?
|
||
2024-06-14 06:55:04,186 [DEBUG] eveai_chat_workers: Original question:
|
||
Hi Eve, I'm wondering what services ae has to offer?
|
||
|
||
Detailed question: What services does ae, a company based in Flanders, Belgium, offer?
|
||
2024-06-14 06:55:04,198 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What services does ae, a company based in Flanders, Belgium, offer?
|
||
2024-06-14 06:55:10,807 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of services including:
|
||
|
||
1. **Inspire**: Fueling business creativity and innovation.
|
||
2. **Strategic Advice**: Providing insightful guidance for informed decision-making and sustainable growth.
|
||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure.
|
||
4. **IT Team Extension**: Enhancing team capabilities with skilled professionals to complement in-house talent.
|
||
5. **Managed Services**: Handling system maintenance, cybersecurity, and IT infrastructure management.
|
||
6. **Application Development**: Building innovative digital solutions tailored to business needs.
|
||
7. **IT Team Extension**: Providing access to an entire ae team with diverse skill sets for project success.
|
||
8. **Document Hyperautomation**: Streamlining document processes.
|
||
9. **Digital Talent & Organisation**: Enhancing digital skills and organizational capabilities.
|
||
10. **CIAM (Customer Identity and Access Management)**: Managing customer identities and access.
|
||
11. **Data & AI**: Leveraging data and artificial intelligence for business growth.
|
||
12. **Digital Strategy & Innovation**: Translating digital strategies into actionable solutions.
|
||
13. **Business & IT Architecture**: Designing and implementing business and IT architectures.
|
||
14. **IT Delivery & Performance**: Ensuring efficient IT project delivery and performance.
|
||
15. **Cloud & Hybrid**: Offering cloud and hybrid solutions.
|
||
|
||
These services are designed to help businesses thrive in a digital world by combining people, processes, and technology.
|
||
|
||
2024-06-14 06:55:10,809 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 414, 407]
|
||
2024-06-14 06:55:35,183 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is understood under 4?. Processing...
|
||
2024-06-14 06:55:35,263 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is understood under 4?
|
||
2024-06-14 06:55:36,294 [DEBUG] eveai_chat_workers: Original question:
|
||
What is understood under 4?
|
||
|
||
Detailed question: What is meant by "IT Team Extension" as one of the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 06:55:36,302 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is meant by "IT Team Extension" as one of the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 06:55:37,821 [DEBUG] eveai_chat_workers: ask_question: result answer: The "IT Team Extension" service offered by ae involves enhancing a client's team's capabilities by providing skilled professionals to complement the in-house talent. This service ensures a harmonious and efficient workflow by seamlessly integrating ae's professionals with the client's existing team.
|
||
2024-06-14 06:55:37,823 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 407, 412, 414, 409]
|
||
2024-06-14 07:01:42,472 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What solutions does ae offer in the AI domain?. Processing...
|
||
2024-06-14 07:01:42,561 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What solutions does ae offer in the AI domain?
|
||
2024-06-14 07:01:43,426 [DEBUG] eveai_chat_workers: Original question:
|
||
What solutions does ae offer in the AI domain?
|
||
|
||
Detailed question: What solutions does ae, a company based in Flanders, Belgium, offer in the domain of Artificial Intelligence (AI)?
|
||
2024-06-14 07:01:43,438 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What solutions does ae, a company based in Flanders, Belgium, offer in the domain of Artificial Intelligence (AI)?
|
||
2024-06-14 07:01:45,786 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers several solutions in the domain of Artificial Intelligence (AI). These include enabling data products to unlock the value of data, operationalizing machine learning (ML) and AI, and providing a future-proof, secure, and user-friendly data platform. They focus on driving informed decisions, propelling growth, and ensuring data accessibility and governance. ae also emphasizes the importance of leadership and culture in the successful implementation of AI solutions.
|
||
2024-06-14 07:01:45,788 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339]
|
||
2024-06-14 07:08:25,596 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is Document Hyperautomation?. Processing...
|
||
2024-06-14 07:08:25,672 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is Document Hyperautomation?
|
||
2024-06-14 07:08:26,548 [DEBUG] eveai_chat_workers: Original question:
|
||
What is Document Hyperautomation?
|
||
|
||
Detailed question: What is Document Hyperautomation, and how does ae, a company based in Flanders, Belgium, implement or utilize this technology in their operations?
|
||
2024-06-14 07:08:26,560 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is Document Hyperautomation, and how does ae, a company based in Flanders, Belgium, implement or utilize this technology in their operations?
|
||
2024-06-14 07:08:32,012 [DEBUG] eveai_chat_workers: ask_question: result answer: Document Hyperautomation refers to the use of AI to automate document workflows, enhancing efficiency and reducing the need for manual interventions. This approach can save time and resources, improve job satisfaction, and streamline business processes. ae, a company based in Flanders, Belgium, implements this technology through a three-pillar framework: Vision & Foundation, Creation & Integration, and Growth & Partnership. This framework involves identifying inefficiencies, developing custom solutions, and providing ongoing support. The benefits of ae's approach include empowered employees, increased retention, streamlined efficiency, data-driven decision-making, and seamless integration. A notable customer case is with SD Worx, where ae's AI tool for document automation improved service delivery and team performance.
|
||
2024-06-14 07:08:32,015 [DEBUG] eveai_chat_workers: ask_question: result citations: [352, 353, 334]
|
||
2024-06-14 07:11:13,470 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 07:11:13,479 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 07:11:13,479 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 07:11:51,962 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about the customer case with SD Worx?. Processing...
|
||
2024-06-14 07:11:52,231 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me more about the customer case with SD Worx?
|
||
2024-06-14 07:11:53,175 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me more about the customer case with SD Worx?
|
||
|
||
Detailed question: Can you provide more details about the customer case with SD Worx, specifically how ae's AI tool for document automation improved service delivery and team performance?
|
||
2024-06-14 07:11:53,186 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details about the customer case with SD Worx, specifically how ae's AI tool for document automation improved service delivery and team performance?
|
||
2024-06-14 07:11:55,219 [DEBUG] eveai_chat_workers: ask_question: result answer: ae's AI tool for document automation significantly improved service delivery and team performance for SD Worx. The implementation of this tool allowed SD Worx to automate their document workflows, which led to enhanced efficiency and reduced the need for manual interventions. This automation not only streamlined their processes but also empowered their employees by removing repetitive tasks, thereby increasing job satisfaction and retention. As a result, SD Worx experienced improved service delivery and overall team performance.
|
||
2024-06-14 07:11:55,220 [DEBUG] eveai_chat_workers: ask_question: result citations: [352, 353]
|
||
2024-06-14 07:14:30,654 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What customer cases can you find?. Processing...
|
||
2024-06-14 07:14:30,741 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What customer cases can you find?
|
||
2024-06-14 07:14:32,032 [DEBUG] eveai_chat_workers: Original question:
|
||
What customer cases can you find?
|
||
|
||
Detailed question: What customer cases can you find where ae, a company based in Flanders, Belgium, has successfully implemented their AI tools or technologies to improve business processes and outcomes?
|
||
2024-06-14 07:14:32,043 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What customer cases can you find where ae, a company based in Flanders, Belgium, has successfully implemented their AI tools or technologies to improve business processes and outcomes?
|
||
2024-06-14 07:14:36,476 [DEBUG] eveai_chat_workers: ask_question: result answer: One notable customer case where ae successfully implemented their AI tools to improve business processes and outcomes is with SD Worx. ae utilized hyper-automation for document workflows using AI, which enhanced efficiency, reduced manual interventions, and ultimately led to significant time and resource savings. This implementation also improved job satisfaction by automating repetitive tasks.
|
||
|
||
Another example is VDAB, where ae improved the overall customer experience by enhancing VDAB's internal customer experience capability and integrating service design methodologies into their core design processes. This resulted in a 10% increase in customer satisfaction.
|
||
|
||
These cases highlight ae's ability to leverage AI and other technologies to drive meaningful improvements in business processes and outcomes.
|
||
|
||
2024-06-14 07:14:36,479 [DEBUG] eveai_chat_workers: ask_question: result citations: [353, 398]
|
||
2024-06-14 07:15:21,267 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: And beyond the AI and doucment hyperautomation domain?. Processing...
|
||
2024-06-14 07:15:21,353 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: And beyond the AI and doucment hyperautomation domain?
|
||
2024-06-14 07:15:22,628 [DEBUG] eveai_chat_workers: Original question:
|
||
And beyond the AI and doucment hyperautomation domain?
|
||
|
||
Detailed question: What are some examples of customer cases where ae, a company based in Flanders, Belgium, has successfully implemented their tools or technologies beyond the AI and document hyperautomation domain to improve business processes and outcomes?
|
||
2024-06-14 07:15:22,641 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are some examples of customer cases where ae, a company based in Flanders, Belgium, has successfully implemented their tools or technologies beyond the AI and document hyperautomation domain to improve business processes and outcomes?
|
||
2024-06-14 07:15:27,043 [DEBUG] eveai_chat_workers: ask_question: result answer: Some examples of customer cases where ae has successfully implemented their tools or technologies beyond the AI and document hyperautomation domain to improve business processes and outcomes include:
|
||
|
||
1. **VDAB**: AE was tasked with improving the overall customer experience for VDAB. The plan aimed to enhance VDAB's internal customer experience capability and ingrained service design methodologies into their core design processes, resulting in a 10% increase in customer satisfaction.
|
||
|
||
2. **SD Worx**: AE developed a SmartOCR application for SD Worx's legal knowledge center. This application significantly boosted productivity for the 'sector regulations' team at Belgium's largest payroll service provider by nearly 40%.
|
||
|
||
These cases illustrate ae's ability to deliver impactful solutions across various domains, improving both customer experience and operational efficiency.
|
||
|
||
2024-06-14 07:15:27,046 [DEBUG] eveai_chat_workers: ask_question: result citations: [398, 371]
|
||
2024-06-14 07:15:55,586 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you explain me what a payroll service is?. Processing...
|
||
2024-06-14 07:15:55,662 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you explain me what a payroll service is?
|
||
2024-06-14 07:15:58,542 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you explain me what a payroll service is?
|
||
|
||
Detailed question: What is a payroll service, and how does it function in the context of companies like SD Worx, which ae, a company based in Flanders, Belgium, has worked with to improve business processes and outcomes?
|
||
2024-06-14 07:15:58,554 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is a payroll service, and how does it function in the context of companies like SD Worx, which ae, a company based in Flanders, Belgium, has worked with to improve business processes and outcomes?
|
||
2024-06-14 07:16:01,462 [DEBUG] eveai_chat_workers: ask_question: result answer: A payroll service is a third-party company that manages various aspects of payroll processing for other businesses. This includes calculating employee wages, withholding taxes, and ensuring compliance with labor laws. In the context of companies like SD Worx, which ae has worked with, payroll services also involve leveraging advanced technologies to enhance efficiency and productivity. For instance, ae developed a SmartOCR application for SD Worx's legal knowledge center, which resulted in a nearly 40% increase in productivity for the team handling sector regulations. Additionally, ae's AI tool for document automation improved service delivery and team performance at SD Worx, demonstrating the significant impact of integrating advanced digital solutions into payroll services.
|
||
2024-06-14 07:16:01,463 [DEBUG] eveai_chat_workers: ask_question: result citations: [371, 353]
|
||
2024-06-14 07:30:57,713 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about the mission statement of ae?. Processing...
|
||
2024-06-14 07:30:57,801 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me more about the mission statement of ae?
|
||
2024-06-14 07:30:58,692 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me more about the mission statement of ae?
|
||
|
||
Detailed question: Can you provide detailed information about the mission statement of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 07:30:58,706 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide detailed information about the mission statement of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 07:31:00,701 [DEBUG] eveai_chat_workers: ask_question: result answer: ae's mission is to help businesses thrive in a digital world by finding the winning combination of people, processes, and technology to accelerate growth. They position themselves at the crossroads of technology, business, and people, enabling them to offer solutions and services that go beyond technology. ae strives for impact by mastering both company-wide implementations and highly specific expert solutions, seamlessly integrated into the operational landscape.
|
||
2024-06-14 07:31:00,704 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 08:03:34,086 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are potential references put forward by ae?. Processing...
|
||
2024-06-14 08:03:34,180 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are potential references put forward by ae?
|
||
2024-06-14 08:03:34,999 [DEBUG] eveai_chat_workers: Original question:
|
||
What are potential references put forward by ae?
|
||
|
||
Detailed question: What are some potential references that ae, a company based in Flanders, Belgium, might put forward?
|
||
2024-06-14 08:03:35,011 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are some potential references that ae, a company based in Flanders, Belgium, might put forward?
|
||
2024-06-14 08:03:38,952 [DEBUG] eveai_chat_workers: ask_question: result answer: ae might reference several successful client cases to demonstrate their expertise and effectiveness. Notable examples include:
|
||
|
||
1. **VDAB**: ae improved VDAB's internal customer experience capability and ingrained service design methodologies in their core processes, resulting in a 10% increase in customer satisfaction [398, 397].
|
||
|
||
2. **SDWorx**: ae developed a SmartOCR application for SD Worx's legal knowledge center, leading to a nearly 40% increase in productivity for the 'sector regulations' team [371, 334].
|
||
|
||
These cases highlight ae's ability to deliver tangible improvements in customer satisfaction and operational efficiency.
|
||
2024-06-14 08:03:38,954 [DEBUG] eveai_chat_workers: ask_question: result citations: [398, 397, 371, 334]
|
||
2024-06-14 08:09:50,122 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Who is the CEO of ae?. Processing...
|
||
2024-06-14 08:09:50,206 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Who is the CEO of ae?
|
||
2024-06-14 08:09:51,169 [DEBUG] eveai_chat_workers: Original question:
|
||
Who is the CEO of ae?
|
||
|
||
Detailed question: Who is the CEO of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:09:51,176 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Who is the CEO of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:09:52,586 [DEBUG] eveai_chat_workers: ask_question: result answer: The CEO of ae, a company based in Flanders, Belgium, is Christoph Neut.
|
||
2024-06-14 08:09:52,588 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 08:19:40,146 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What management level people can you give me for ae?. Processing...
|
||
2024-06-14 08:19:40,244 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What management level people can you give me for ae?
|
||
2024-06-14 08:19:41,159 [DEBUG] eveai_chat_workers: Original question:
|
||
What management level people can you give me for ae?
|
||
|
||
Detailed question: What are the names and positions of the management-level individuals at ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:19:41,172 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the names and positions of the management-level individuals at ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:19:42,523 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-14 08:19:42,524 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 336, 371, 349]
|
||
2024-06-14 08:25:18,039 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can ae support me in strategy development?. Processing...
|
||
2024-06-14 08:25:18,127 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can ae support me in strategy development?
|
||
2024-06-14 08:25:18,920 [DEBUG] eveai_chat_workers: Original question:
|
||
Can ae support me in strategy development?
|
||
|
||
Detailed question: Can ae, a company based in Flanders, Belgium, support me in developing a business strategy?
|
||
2024-06-14 08:25:18,931 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can ae, a company based in Flanders, Belgium, support me in developing a business strategy?
|
||
2024-06-14 08:25:22,043 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae can support you in developing a business strategy. They offer a structured methodology to make business strategies actionable, particularly in a digital context. This involves setting direction, elaborating the necessary changes, and compiling a strategic plan. They also provide practical tools like interviews, workshops, business capability maps, and reference business & IT architecture to help organizations implement their strategies effectively. Additionally, ae emphasizes a business-first approach and offers solutions to improve organizational agility, customer-centricity, and digital maturity.
|
||
|
||
Sources: 369, 402
|
||
2024-06-14 08:25:22,045 [DEBUG] eveai_chat_workers: ask_question: result citations: [369, 402]
|
||
2024-06-14 08:28:33,346 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Hi Eve, how can you help me?. Processing...
|
||
2024-06-14 08:28:33,410 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Hi Eve, how can you help me?
|
||
2024-06-14 08:28:34,274 [DEBUG] eveai_chat_workers: Original question:
|
||
Hi Eve, how can you help me?
|
||
|
||
Detailed question: Hi Eve, how can you help me as a representative of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:28:34,286 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Hi Eve, how can you help me as a representative of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:28:37,604 [DEBUG] eveai_chat_workers: ask_question: result answer: As a representative of ae, I can help you by offering a range of services and solutions that blend ICT and business to accelerate your growth. Our offerings include data and AI solutions, digital strategy and innovation, IT delivery and performance, cloud and hybrid solutions, and more. We provide strategic advice, IT consultancy, managed services, and application development to ensure cost-effective and efficient project delivery. Additionally, we can help improve your organization's agility, enhance customer experiences, and re-architect your enterprise landscape to future-proof your business. Our end-to-end approach ensures that we can assist you from the initial ideation phase through to full implementation and maintenance.
|
||
|
||
Sources: 334, 398, 404, 396, 371
|
||
2024-06-14 08:28:37,607 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 404, 396, 371]
|
||
2024-06-14 08:30:47,586 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can ae offer specific education to my employees?. Processing...
|
||
2024-06-14 08:30:47,665 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can ae offer specific education to my employees?
|
||
2024-06-14 08:30:48,966 [DEBUG] eveai_chat_workers: Original question:
|
||
Can ae offer specific education to my employees?
|
||
|
||
Detailed question: Can ae, a company based in Flanders, Belgium, offer specific education or training programs tailored to the needs of my employees?
|
||
2024-06-14 08:30:48,979 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can ae, a company based in Flanders, Belgium, offer specific education or training programs tailored to the needs of my employees?
|
||
2024-06-14 08:30:51,483 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae, a company based in Flanders, Belgium, can offer specific education or training programs tailored to the needs of your employees. They provide bespoke learning solutions that involve comprehensive intake conversations, tailored learning activities delivered by experts, dedicated coaching, and measurement to ensure learning objectives are realized. These programs can be customized to address the unique needs of your organization and foster a culture of continuous learning through strategic partnerships.
|
||
2024-06-14 08:30:51,485 [DEBUG] eveai_chat_workers: ask_question: result citations: [357, 344]
|
||
2024-06-14 08:47:30,118 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What happend?. Processing...
|
||
2024-06-14 08:47:30,184 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What happend?
|
||
2024-06-14 08:47:30,910 [DEBUG] eveai_chat_workers: Original question:
|
||
What happend?
|
||
|
||
Detailed question: What recent events or developments have occurred at ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:47:30,921 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What recent events or developments have occurred at ae, the company based in Flanders, Belgium?
|
||
2024-06-14 08:47:33,096 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-14 08:47:33,098 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 351, 396]
|
||
2024-06-14 08:50:42,110 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-14 08:50:42,202 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-14 08:50:43,160 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:50:43,167 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:50:49,402 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of services aimed at helping businesses thrive in a digital world. These services include:
|
||
|
||
1. **Inspire**: Fueling business creativity and innovation.
|
||
2. **Strategic Advice**: Providing insightful guidance to navigate business complexities and foster sustainable growth.
|
||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure.
|
||
4. **IT Team Extension**: Enhancing in-house team capabilities with skilled professionals.
|
||
5. **Managed Services**: Handling system maintenance, cybersecurity, and overall IT infrastructure management.
|
||
6. **Application Development**: Building innovative digital solutions tailored to business needs.
|
||
7. **Data & AI**: Leveraging data and artificial intelligence for business growth.
|
||
8. **CIAM**: Customer Identity and Access Management solutions.
|
||
9. **Digital Talent & Organisation**: Developing digital talent and organizational strategies.
|
||
10. **Document Hyperautomation**: Automating document-related processes.
|
||
11. **Applications**: Developing and managing business applications.
|
||
12. **Digital Strategy & Innovation**: Crafting and implementing digital strategies.
|
||
13. **Business & IT Architecture**: Designing business and IT architectures.
|
||
14. **IT Delivery & Performance**: Ensuring efficient and effective IT project delivery.
|
||
15. **Cloud & Hybrid**: Providing cloud and hybrid solutions.
|
||
|
||
These services are designed to inspire, advise, and support businesses in their digital transformation journeys.
|
||
|
||
2024-06-14 08:50:49,403 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 414, 407]
|
||
2024-06-14 08:51:05,932 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me some more information on '3'?. Processing...
|
||
2024-06-14 08:51:06,010 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me some more information on '3'?
|
||
2024-06-14 08:51:06,823 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me some more information on '3'?
|
||
|
||
Detailed question: Can you provide more information on the IT Consultancy services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:51:06,835 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more information on the IT Consultancy services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:51:08,687 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers IT Consultancy services designed to unlock the full potential of your IT infrastructure. Their experts provide strategic insights and technical expertise to optimize your technology investments. This service ensures cost-effective and efficient project delivery, helping businesses navigate the complexities of the IT landscape and fostering sustainable growth.
|
||
2024-06-14 08:51:08,689 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 407, 414]
|
||
2024-06-14 08:51:24,711 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about it?. Processing...
|
||
2024-06-14 08:51:24,792 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me more about it?
|
||
2024-06-14 08:51:25,764 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me more about it?
|
||
|
||
Detailed question: Can you provide more information on the "Inspire" service offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:51:25,770 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more information on the "Inspire" service offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 08:51:28,879 [DEBUG] eveai_chat_workers: ask_question: result answer: The "Inspire" service offered by ae is designed to fuel businesses with creativity and innovation. It aims to ignite fresh ideas and drive organizations towards new horizons. This service is part of ae's broader mission to help businesses thrive in a digital world by blending ICT and business. The Inspire service includes activities such as sharing and discussing trends, best practices, cases, and insights, and translating them to the client's business context or technical landscape. It also involves ideation sessions, workshops, and round tables to help organizations gain inspiration and take steps in ideation and exploration. The ultimate goal of the Inspire service is to provide a strategic headstart by turning inspiration into actionable opportunities for growth and innovation.
|
||
2024-06-14 08:51:28,880 [DEBUG] eveai_chat_workers: ask_question: result citations: [392, 407, 414]
|
||
2024-06-14 09:05:18,412 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you explain me what Studio is?. Processing...
|
||
2024-06-14 09:05:18,503 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you explain me what Studio is?
|
||
2024-06-14 09:05:19,370 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you explain me what Studio is?
|
||
|
||
Detailed question: Can you explain what Studio is, specifically in the context of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 09:05:19,384 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you explain what Studio is, specifically in the context of ae, the company based in Flanders, Belgium?
|
||
2024-06-14 09:05:21,314 [DEBUG] eveai_chat_workers: ask_question: result answer: In the context of ae, the company based in Flanders, Belgium, the Digital Studio is a service offered under their Application Development solutions. It is designed to transform ideas into reality by building innovative digital solutions that meet specific requirements. The Digital Studio is equipped with a team that can handle the entire process of creating digital applications, ensuring they are user-friendly, secure, and delivered on time and within budget.
|
||
2024-06-14 09:05:21,317 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 371]
|
||
2024-06-14 09:12:12,346 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the solutions offered by ae?. Processing...
|
||
2024-06-14 09:12:12,432 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the solutions offered by ae?
|
||
2024-06-14 09:12:13,507 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the solutions offered by ae?
|
||
|
||
Detailed question: What solutions does ae, a company based in Flanders, Belgium, offer?
|
||
2024-06-14 09:12:13,518 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What solutions does ae, a company based in Flanders, Belgium, offer?
|
||
2024-06-14 09:12:20,616 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of solutions that blend ICT and business to help organizations thrive in a digital world. Their solutions include:
|
||
|
||
1. **Data & AI**
|
||
2. **CIAM (Customer Identity and Access Management)**
|
||
3. **Digital Talent & Organisation**
|
||
4. **Document Hyperautomation**
|
||
5. **Applications**
|
||
6. **Digital Strategy & Innovation**
|
||
7. **Business & IT Architecture**
|
||
8. **IT Delivery & Performance**
|
||
9. **Cloud & Hybrid**
|
||
|
||
These solutions are designed to address various business challenges and are seamlessly integrated into the operational landscape of their clients.
|
||
|
||
Additionally, ae offers specific solutions such as the SmartOCR solution for SDWorx, a data strategy for Lecot, and a digital assistant for Acerta.
|
||
|
||
They also provide a framework for creating a seamless customer experience, which includes customer journey mapping, workshops, prototyping, and creating blueprints and roadmaps.
|
||
|
||
Furthermore, ae has a methodology for developing digital solutions, which is divided into three phases: Think, Build, and Run. This methodology ensures that digital solutions are user-friendly, secure, and delivered on time and within budget.
|
||
|
||
Lastly, ae offers solutions to upskill and reskill digital talent, improve organizational agility, and provide strategic advice, IT consultancy, managed services, and application development.
|
||
|
||
2024-06-14 09:12:20,618 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 357, 351]
|
||
2024-06-14 09:23:52,997 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Why should I choose ae over other companies?. Processing...
|
||
2024-06-14 09:23:53,081 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Why should I choose ae over other companies?
|
||
2024-06-14 09:23:54,053 [DEBUG] eveai_chat_workers: Original question:
|
||
Why should I choose ae over other companies?
|
||
|
||
Detailed question: What are the unique advantages and benefits of choosing ae, a company based in Flanders, Belgium, over other companies in the same industry?
|
||
2024-06-14 09:23:54,059 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the unique advantages and benefits of choosing ae, a company based in Flanders, Belgium, over other companies in the same industry?
|
||
2024-06-14 09:24:02,345 [DEBUG] eveai_chat_workers: ask_question: result answer: Choosing ae, a company based in Flanders, Belgium, offers several unique advantages and benefits over other companies in the same industry. These include:
|
||
|
||
1. **End-to-End Partner**: ae provides a comprehensive range of services from innovation, design, and prototyping to full implementation of processes and applications. This makes them a true end-to-end partner ([SOURCE: 398, 336, 351]).
|
||
|
||
2. **Blending ICT and Business**: ae uniquely combines expertise in both technology and business, allowing them to address challenges from a broader perspective and offer solutions that go beyond mere technology ([SOURCE: 334, 336]).
|
||
|
||
3. **Customer and Employee Focus**: ae places a strong emphasis on the satisfaction and engagement of both their customers and employees. They have been recognized as a Great Place to Work for 14 consecutive years, which underscores their commitment to a positive work environment ([SOURCE: 334, 336]).
|
||
|
||
4. **Agile and Custom Approach**: ae employs a flexible, framework-agnostic approach, cherry-picking from various best practices to tailor solutions to the specific context of their clients. This ensures that the solutions are not only effective but also aligned with the client's unique needs ([SOURCE: 351]).
|
||
|
||
5. **Proven Track Record**: ae has a proven track record of success, as evidenced by numerous customer stories and case studies that highlight their ability to deliver impactful solutions ([SOURCE: 398, 371, 351]).
|
||
|
||
6. **Strategic and Innovative Thinking**: ae offers strategic advice and innovative thinking that align with business goals, helping clients navigate challenges and identify growth opportunities ([SOURCE: 334]).
|
||
|
||
These unique advantages make ae a compelling choice for businesses looking to thrive in a digital world.
|
||
2024-06-14 09:24:02,346 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 336, 351, 398, 371]
|
||
2024-06-14 09:25:48,019 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does the site mention competitors of ae?. Processing...
|
||
2024-06-14 09:25:48,119 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does the site mention competitors of ae?
|
||
2024-06-14 09:25:49,118 [DEBUG] eveai_chat_workers: Original question:
|
||
Does the site mention competitors of ae?
|
||
|
||
Detailed question: Does the ae company website mention any competitors of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 09:25:49,124 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does the ae company website mention any competitors of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 09:25:50,580 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-14 09:25:50,581 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 336, 371, 398, 404]
|
||
2024-06-14 09:27:11,751 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you explain the managed services offering of ae?. Processing...
|
||
2024-06-14 09:27:11,838 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you explain the managed services offering of ae?
|
||
2024-06-14 09:27:12,973 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you explain the managed services offering of ae?
|
||
|
||
Detailed question: Can you explain the managed services offering provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 09:27:12,979 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you explain the managed services offering provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 09:27:16,011 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers Managed Services to help businesses focus on their core activities by taking over the management and maintenance of their IT infrastructure. This includes system maintenance and cybersecurity, ensuring that the IT environment is secure and running smoothly. The goal is to provide peace of mind to businesses, allowing them to concentrate on growth and other critical areas without worrying about their IT systems.
|
||
|
||
By leveraging ae's Managed Services, companies can benefit from the expertise and support of skilled professionals who handle the complexities of IT management, thereby optimizing their technology investments and ensuring efficient operations.
|
||
|
||
Sources: 334, 407, 414
|
||
2024-06-14 09:27:16,013 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 407, 414]
|
||
2024-06-14 09:40:31,213 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What offices does ae have?. Processing...
|
||
2024-06-14 09:40:31,303 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What offices does ae have?
|
||
2024-06-14 09:40:32,433 [DEBUG] eveai_chat_workers: Original question:
|
||
What offices does ae have?
|
||
|
||
Detailed question: What offices does ae, a company based in Flanders, Belgium, have?
|
||
2024-06-14 09:40:32,438 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What offices does ae, a company based in Flanders, Belgium, have?
|
||
2024-06-14 09:40:33,702 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-14 09:40:33,704 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 336, 351, 371, 398]
|
||
2024-06-14 11:29:47,265 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Are there any events planned?. Processing...
|
||
2024-06-14 11:29:47,361 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Are there any events planned?
|
||
2024-06-14 11:29:48,296 [DEBUG] eveai_chat_workers: Original question:
|
||
Are there any events planned?
|
||
|
||
Detailed question: Are there any upcoming events planned by ae, the company based in Flanders, Belgium?
|
||
2024-06-14 11:29:48,310 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Are there any upcoming events planned by ae, the company based in Flanders, Belgium?
|
||
2024-06-14 11:29:50,649 [DEBUG] eveai_chat_workers: ask_question: result answer: The context does not provide specific information about any upcoming events planned by ae. Therefore, I have insufficient information to answer this question.
|
||
2024-06-14 11:29:50,651 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 11:31:58,362 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me what the solutions are ae offers?. Processing...
|
||
2024-06-14 11:31:58,433 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me what the solutions are ae offers?
|
||
2024-06-14 11:31:59,150 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me what the solutions are ae offers?
|
||
|
||
Detailed question: What solutions does ae, the company based in Flanders, Belgium, offer?
|
||
2024-06-14 11:31:59,164 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What solutions does ae, the company based in Flanders, Belgium, offer?
|
||
2024-06-14 11:32:03,368 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, the company based in Flanders, Belgium, offers a wide range of solutions, including:
|
||
|
||
1. **Data & AI**
|
||
2. **CIAM (Customer Identity and Access Management)**
|
||
3. **Digital Talent & Organisation**
|
||
4. **Document Hyperautomation**
|
||
5. **Applications**
|
||
6. **Digital Strategy & Innovation**
|
||
7. **Business & IT Architecture**
|
||
8. **IT Delivery & Performance**
|
||
9. **Cloud & Hybrid**
|
||
|
||
These solutions are designed to help businesses thrive in a digital world by blending ICT and business, and they cover various aspects from strategic advice to managed services and application development.
|
||
2024-06-14 11:32:03,370 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 11:32:28,279 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you detail 7?. Processing...
|
||
2024-06-14 11:32:28,355 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you detail 7?
|
||
2024-06-14 11:32:34,096 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you detail 7?
|
||
|
||
Detailed question: What does ae, the company based in Flanders, Belgium, offer in terms of Business & IT Architecture solutions?
|
||
2024-06-14 11:32:34,108 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What does ae, the company based in Flanders, Belgium, offer in terms of Business & IT Architecture solutions?
|
||
2024-06-14 11:32:38,316 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers comprehensive Business & IT Architecture solutions that align all aspects of an organization with its business objectives to enable effective decision-making and adaptation. Their approach includes understanding the current situation and preparing for future evolutions, embracing volatility, and coping with change. They provide solutions in various domains such as Business Architecture, IT Architecture, Data Architecture, Application Architecture, Security Architecture, and Cloud Architecture. Their methodology, termed 'just enough architecture,' involves designing a target architecture as a blueprint for digital transformation projects, making business strategies actionable, and unlocking the value of data. ae's architects are skilled in delivering practical and pragmatic architectural solutions that facilitate both short-term and long-term decision-making and change. Additionally, they support the setup and maturity increase of architecture teams within organizations.
|
||
2024-06-14 11:32:38,319 [DEBUG] eveai_chat_workers: ask_question: result citations: [393, 394, 404]
|
||
2024-06-14 11:34:06,585 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is business architecture?. Processing...
|
||
2024-06-14 11:34:06,664 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is business architecture?
|
||
2024-06-14 11:34:07,861 [DEBUG] eveai_chat_workers: Original question:
|
||
What is business architecture?
|
||
|
||
Detailed question: What is Business Architecture as offered by ae, the company based in Flanders, Belgium?
|
||
2024-06-14 11:34:07,872 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is Business Architecture as offered by ae, the company based in Flanders, Belgium?
|
||
2024-06-14 11:34:13,101 [DEBUG] eveai_chat_workers: ask_question: result answer: Business Architecture at ae involves aligning all aspects of an organization with its business objectives to enable effective decision-making and adaptation. It starts with a profound understanding of the current situation and takes a stance on future evolutions. The approach embraces volatility and prepares the organization to better cope with change. ae's Business Architecture solutions are designed to re-architect the enterprise landscape based on a 'just enough architecture' approach, making the business strategy actionable by translating strategic objectives into an actionable plan with the right priorities. This approach ensures that the architecture is practical and pragmatic, facilitating actual decision-making and change on both short and long terms.
|
||
2024-06-14 11:34:13,104 [DEBUG] eveai_chat_workers: ask_question: result citations: [393, 394]
|
||
2024-06-14 11:35:43,280 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What about 8?. Processing...
|
||
2024-06-14 11:35:43,370 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What about 8?
|
||
2024-06-14 11:35:44,332 [DEBUG] eveai_chat_workers: Original question:
|
||
What about 8?
|
||
|
||
Detailed question: What does ae, the company based in Flanders, Belgium, offer in terms of IT Delivery & Performance solutions?
|
||
2024-06-14 11:35:44,339 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What does ae, the company based in Flanders, Belgium, offer in terms of IT Delivery & Performance solutions?
|
||
2024-06-14 11:35:49,980 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a range of IT Delivery & Performance solutions aimed at transforming IT departments into high-performing, value-delivering partners for business stakeholders. These solutions include re-architecting the enterprise landscape using a 'just enough architecture' approach, streamlining and securing the software delivery process to enhance quality, reliability, and security, and fostering human capital by advising on organizational design, company culture, personalized development, collaboration, continuous learning, and employee well-being. Additionally, ae helps improve organizational agility to capitalize on opportunities faster, have more control over projects, predict risks more easily, and become more collaborative and resilient.
|
||
|
||
These solutions are designed to address challenges such as time to market, IT architecture, ensuring quality, and talent shortage and skills gap.
|
||
|
||
Overall, ae positions itself as a true end-to-end partner with a wide range of skillsets, capable of assessing or helping realize strategies, creating frameworks or architectures, developing applications, and supporting full roll-outs.
|
||
|
||
Sources: 410, 415, 411
|
||
2024-06-14 11:35:49,982 [DEBUG] eveai_chat_workers: ask_question: result citations: [410, 415, 411]
|
||
2024-06-14 11:49:07,023 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What do they mean 'We blend ICT & Business'?. Processing...
|
||
2024-06-14 11:49:07,095 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What do they mean 'We blend ICT & Business'?
|
||
2024-06-14 11:49:07,898 [DEBUG] eveai_chat_workers: Original question:
|
||
What do they mean 'We blend ICT & Business'?
|
||
|
||
Detailed question: What does ae mean when they say 'We blend ICT & Business'?
|
||
2024-06-14 11:49:07,910 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What does ae mean when they say 'We blend ICT & Business'?
|
||
2024-06-14 11:49:12,529 [DEBUG] eveai_chat_workers: ask_question: result answer: When ae says 'We blend ICT & Business,' they mean that they position themselves at the intersection of technology, business, and people. This allows them to gain a broader perspective on the challenges faced by their clients and offer solutions that go beyond just technology. They strive to integrate both company-wide implementations and specific expert solutions seamlessly into the operational landscape of their clients, ensuring a holistic approach to problem-solving and growth acceleration.
|
||
2024-06-14 11:49:12,531 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 11:49:47,961 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Which services does ae offer to better align business with IT?. Processing...
|
||
2024-06-14 11:49:48,038 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Which services does ae offer to better align business with IT?
|
||
2024-06-14 11:49:49,773 [DEBUG] eveai_chat_workers: Original question:
|
||
Which services does ae offer to better align business with IT?
|
||
|
||
Detailed question: Which services does ae offer to better align business with IT, considering their approach of blending ICT and Business to provide holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:49:49,785 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Which services does ae offer to better align business with IT, considering their approach of blending ICT and Business to provide holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:49:54,959 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers several services to better align business with IT, leveraging their approach of blending ICT and business to provide holistic solutions. These services include:
|
||
|
||
1. **Strategic Advice**: Providing strategic advice and innovative thinking that aligns with business goals to help navigate challenges and identify opportunities for growth.
|
||
2. **IT Consultancy**: Offering skilled IT experts to ensure cost-effective and efficient project delivery.
|
||
3. **IT Team Extension**: Providing access to an entire ae team with diverse skill sets, ready to contribute to project success.
|
||
4. **Managed Services**: Handling the management and maintenance of software and/or infrastructure, allowing businesses to focus on their core activities.
|
||
5. **Application Development**: Transforming ideas into reality with their Digital Studio, building innovative digital solutions that meet business requirements.
|
||
6. **IT Delivery & Performance Solutions**: These include re-architecting enterprise landscapes, streamlining and securing software delivery processes, fostering human capital, and improving organizational agility.
|
||
|
||
These services ensure that ae can address both technological and business challenges effectively, making them a true end-to-end partner.
|
||
|
||
Sources: 334, 410, 411
|
||
2024-06-14 11:49:54,961 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 410, 411]
|
||
2024-06-14 11:50:19,108 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you detail 1?. Processing...
|
||
2024-06-14 11:50:19,176 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you detail 1?
|
||
2024-06-14 11:50:20,970 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you detail 1?
|
||
|
||
Detailed question: What does ae's service of providing strategic advice entail, considering their approach of blending ICT and Business to offer holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:50:20,981 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What does ae's service of providing strategic advice entail, considering their approach of blending ICT and Business to offer holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:50:23,916 [DEBUG] eveai_chat_workers: ask_question: result answer: ae's service of providing strategic advice involves offering innovative thinking that aligns with a business's goals to help navigate challenges and identify growth opportunities. Positioned at the intersection of technology, business, and people, ae gains a broader perspective on challenges, enabling them to deliver solutions that go beyond mere technology. This holistic approach ensures that both technological and business challenges are addressed, making ae a true end-to-end partner in the strategic planning and implementation process.
|
||
2024-06-14 11:50:23,918 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 404, 402, 369]
|
||
2024-06-14 11:50:52,288 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Are there more details know about innovative thinking?. Processing...
|
||
2024-06-14 11:50:52,366 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Are there more details know about innovative thinking?
|
||
2024-06-14 11:50:53,792 [DEBUG] eveai_chat_workers: Original question:
|
||
Are there more details know about innovative thinking?
|
||
|
||
Detailed question: Can you provide more details about what ae means by "innovative thinking" in the context of their strategic advice service, considering their approach of blending ICT and Business to offer holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:50:53,805 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details about what ae means by "innovative thinking" in the context of their strategic advice service, considering their approach of blending ICT and Business to offer holistic solutions that address both technological and business challenges?
|
||
2024-06-14 11:50:58,351 [DEBUG] eveai_chat_workers: ask_question: result answer: ae's approach to "innovative thinking" in the context of their strategic advice service involves blending ICT and business to offer holistic solutions that address both technological and business challenges. This means they look beyond just technology to also consider the organisational and human aspects of transitioning to new business models or enterprise landscapes. They focus on ideating new opportunities, improving agility, controlling risks, and learning from customers. Their methodology includes inspiring clients by sharing trends and best practices, ideating and exploring new opportunities through workshops and voting sessions, and building and exploring these ideas through hands-on services like prototyping and proof of concept. This structured approach ensures that the strategic advice they provide is both innovative and actionable, helping companies to thrive in a digital world.
|
||
2024-06-14 11:50:58,353 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 369, 372, 392, 404]
|
||
2024-06-14 11:58:15,376 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae offer development services?. Processing...
|
||
2024-06-14 11:58:15,472 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae offer development services?
|
||
2024-06-14 11:58:16,324 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae offer development services?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, offer development services?
|
||
2024-06-14 11:58:16,338 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, offer development services?
|
||
2024-06-14 11:58:18,913 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae offers development services. They provide application development services through their Digital Studio, where they build innovative digital solutions tailored to meet client requirements. Additionally, they follow a methodology that includes phases like 'Think,' 'Build,' and 'Run' to ensure user-friendly, secure, and timely delivery of digital solutions.
|
||
2024-06-14 11:58:18,918 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 371, 414, 413]
|
||
2024-06-14 11:58:59,203 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about 'Think, Build, Run'?. Processing...
|
||
2024-06-14 11:58:59,274 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me more about 'Think, Build, Run'?
|
||
2024-06-14 11:59:00,394 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me more about 'Think, Build, Run'?
|
||
|
||
Detailed question: Can you tell me more about the 'Think, Build, Run' methodology that ae, a company based in Flanders, Belgium, follows for their development services?
|
||
2024-06-14 11:59:00,401 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me more about the 'Think, Build, Run' methodology that ae, a company based in Flanders, Belgium, follows for their development services?
|
||
2024-06-14 11:59:06,368 [DEBUG] eveai_chat_workers: ask_question: result answer: The 'Think, Build, Run' methodology followed by ae for their development services is designed to create user-friendly, secure digital solutions delivered on time and within budget. This methodology is divided into three phases:
|
||
|
||
1. **Think**: This phase focuses on laying a strong foundation using service design techniques, creating personas, and setting up customer journeys. It involves capturing the context, making choices about scope, prototyping the visual identity, and designing the technical backbone with a focus on technology, security, performance, and scalability. The phase ends with an integrated plan for delivering the digital solution.
|
||
|
||
2. **Build**: This phase involves sprint-based agile development with a focus on UX/UI to create valuable experiences for end-users. Integrated quality assurance and privacy/security by design are emphasized to ensure the delivery of a user-friendly and secure digital solution that meets expectations.
|
||
|
||
3. **Run**: This phase centers on growth and partnership, ensuring that the digital solution continues to deliver value over time. It includes maintaining user-centricity, using test automation to limit manual testing efforts, and preventing regression issues after the solution is released.
|
||
|
||
The approach includes agile methods, test automation, and maintaining user-centricity to ensure the final product meets user needs and maximizes value. The benefits for organizations include peace of mind, increased revenue, and reduced costs.
|
||
|
||
[SOURCE: 371, 370]
|
||
2024-06-14 11:59:06,370 [DEBUG] eveai_chat_workers: ask_question: result citations: [371, 370]
|
||
2024-06-14 12:01:18,147 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the typical services offered by ae?. Processing...
|
||
2024-06-14 12:01:18,232 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the typical services offered by ae?
|
||
2024-06-14 12:01:19,593 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the typical services offered by ae?
|
||
|
||
Detailed question: What are the typical services offered by ae, a company based in Flanders, Belgium, known for their development services through their Digital Studio and the 'Think, Build, Run' methodology?
|
||
2024-06-14 12:01:19,606 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the typical services offered by ae, a company based in Flanders, Belgium, known for their development services through their Digital Studio and the 'Think, Build, Run' methodology?
|
||
2024-06-14 12:01:27,021 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a range of services through their Digital Studio and the 'Think, Build, Run' methodology. These services include:
|
||
|
||
1. **Digital Strategy & Innovation**: Helping clients translate their digital strategy into actionable solutions.
|
||
2. **Application Development**: Building robust, user-friendly, secure, and scalable digital solutions.
|
||
3. **IT Consultancy**: Providing skilled IT experts for cost-effective and efficient project delivery.
|
||
4. **Managed Services**: Managing and maintaining software and infrastructure so clients can focus on their core business.
|
||
5. **IT Team Extension**: Offering access to a team with diverse skill sets to contribute to project success.
|
||
6. **Strategic Advice**: Delivering strategic advice and innovative thinking aligned with business goals.
|
||
7. **Customer Experience Improvement**: Using customer journey mapping, workshops, prototyping, and blueprints to enhance customer satisfaction.
|
||
8. **Data & AI**: Leveraging data and artificial intelligence to drive business growth.
|
||
9. **CIAM (Customer Identity and Access Management)**: Ensuring secure and efficient management of customer identities.
|
||
10. **Document Hyperautomation**: Automating document-related processes for increased efficiency.
|
||
11. **Business & IT Architecture**: Designing and implementing effective business and IT architectures.
|
||
12. **Cloud & Hybrid Solutions**: Providing cloud and hybrid solutions for modern business needs.
|
||
|
||
These services are designed to help organizations thrive in the digital world by ensuring their digital solutions are delivered on time, within budget, and meet user needs.
|
||
|
||
2024-06-14 12:01:27,023 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 354, 355, 371, 398]
|
||
2024-06-14 12:01:37,847 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you tell me more about 8?. Processing...
|
||
2024-06-14 12:01:37,930 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you tell me more about 8?
|
||
2024-06-14 12:01:38,888 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you tell me more about 8?
|
||
|
||
Detailed question: Can you tell me more about the Data & AI services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 12:01:38,900 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you tell me more about the Data & AI services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 12:01:45,859 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a comprehensive range of Data & AI services aimed at helping businesses thrive in a digital world. Their services include enabling data products to gain a competitive edge, create real business value, lower costs, and mitigate risks. They focus on unlocking the value of data by realizing data products from business cases with clear ROI, conducting assessments to estimate the maturity of data enablers, and drawing roadmaps to reinforce these enablers. Key data enablers identified by ae include leadership & culture, data infrastructure and technology, operationalization of ML and AI, data accessibility, and data governance.
|
||
|
||
Their solutions are designed to empower businesses by extracting valuable insights, driving informed decisions, and propelling growth. They emphasize the importance of a future-proof, secure, and user-friendly data platform to deliver valuable insights efficiently. ae's methodology includes ideation sessions to identify business cases, building proofs of value, developing prototypes, and designing integration processes. They also offer training and coaching to ensure that client teams can maintain, improve, and develop new data products independently.
|
||
|
||
What sets ae apart is their focus on ROI, their holistic approach that goes beyond technology, and their capability to act as a true end-to-end partner.
|
||
|
||
Sources: 338, 339, 337
|
||
2024-06-14 12:01:45,861 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339, 337]
|
||
2024-06-14 12:02:16,706 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: How do they lower cost?. Processing...
|
||
2024-06-14 12:02:16,780 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: How do they lower cost?
|
||
2024-06-14 12:02:19,978 [DEBUG] eveai_chat_workers: Original question:
|
||
How do they lower cost?
|
||
|
||
Detailed question: How does ae, a company based in Flanders, Belgium, lower costs through their Data & AI services?
|
||
2024-06-14 12:02:19,990 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: How does ae, a company based in Flanders, Belgium, lower costs through their Data & AI services?
|
||
2024-06-14 12:02:23,957 [DEBUG] eveai_chat_workers: ask_question: result answer: ae lowers costs through their Data & AI services by enabling businesses to unlock the value of their data, which leads to more informed strategic decisions, improved control of operational processes, and a better understanding of customer behavior. This efficient use of data can result in an 8% increase in profit and a 10% reduction in costs. ae's methodology involves starting with the most valuable business case to ensure a real ROI, followed by further integration and development of data products. They also offer services like data assessment, workshops, prototyping, and integration design to help businesses efficiently utilize their data.
|
||
|
||
Sources: 338, 339, 337
|
||
2024-06-14 12:02:23,960 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339, 337]
|
||
2024-06-14 12:02:52,724 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Is there any evidence on the 8% increase in profit?. Processing...
|
||
2024-06-14 12:02:52,812 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Is there any evidence on the 8% increase in profit?
|
||
2024-06-14 12:02:53,994 [DEBUG] eveai_chat_workers: Original question:
|
||
Is there any evidence on the 8% increase in profit?
|
||
|
||
Detailed question: Can you provide evidence supporting the claim that ae's Data & AI services can lead to an 8% increase in profit?
|
||
2024-06-14 12:02:54,006 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide evidence supporting the claim that ae's Data & AI services can lead to an 8% increase in profit?
|
||
2024-06-14 12:02:57,138 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae claims that businesses using data efficiently can increase their profit by 8%. This is supported by their methodology, which focuses on unlocking the value of data through a structured approach involving ideation sessions, proof of value, and integration design. The benefits highlighted include more informed strategic decisions, improved control of operational processes, and a better understanding of customer behavior.
|
||
2024-06-14 12:02:57,140 [DEBUG] eveai_chat_workers: ask_question: result citations: [337]
|
||
2024-06-14 14:00:15,180 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-14 14:00:15,267 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-14 14:00:16,251 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-14 14:00:16,258 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-14 14:00:24,607 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of services including:
|
||
|
||
1. **Inspire**: Providing inspiration and ideas to help clients learn, grow, and break out of their comfort zones.
|
||
2. **IT Team Extension**: Offering access to an entire ae team with diverse skill sets to contribute to project success.
|
||
3. **Strategic Advice**: Providing strategic advice and innovative thinking that aligns with business goals to navigate challenges and identify growth opportunities.
|
||
4. **Managed Services**: Handling the management and maintenance of all or part of a client's software and/or infrastructure, allowing them to focus on their core business.
|
||
5. **IT Consultancy**: Ensuring cost-effective and efficient project delivery with skilled IT experts.
|
||
6. **Application Development**: Transforming ideas into reality with innovative digital solutions built by their Digital Studio.
|
||
7. **Customer Journey Mapping**: Creating visual storylines of customer engagements to understand processes, needs, and perceptions.
|
||
8. **Workshops**: Offering workshops for ideation, design, aligning business and IT, and adapting to a customer experience mindset.
|
||
9. **Prototyping**: Assisting with service and UX design of mock prototypes, user testing, and evaluating business and technical feasibility.
|
||
10. **Blueprints & Roadmaps**: Creating blueprints, service models, roadmaps, and application or service landscapes for improved customer experience.
|
||
|
||
These services are designed to help businesses thrive in a digital world by blending ICT and business, and by offering solutions that go beyond technology.
|
||
|
||
Sources: 334, 398
|
||
2024-06-14 14:00:24,609 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398]
|
||
2024-06-14 14:01:23,496 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me some more info on 5?. Processing...
|
||
2024-06-14 14:01:23,578 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me some more info on 5?
|
||
2024-06-14 14:01:24,445 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me some more info on 5?
|
||
|
||
Detailed question: Can you provide more information on the IT Consultancy services offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-14 14:01:24,457 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more information on the IT Consultancy services offered by ae, a company based in Flanders, Belgium, also known as application engineers?
|
||
2024-06-14 14:01:27,445 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers IT Consultancy services designed to unlock the full potential of your IT infrastructure. Their consultancy services provide strategic insights and technical expertise to optimize technology investments, ensuring cost-effective and efficient project delivery. ae's skilled IT experts are available to help navigate the complexities of the business landscape, fostering sustainable growth and making informed decisions.
|
||
|
||
For more details, you can refer to their services which include strategic advice, IT team extension, managed services, and application development, all aimed at enhancing your business capabilities and driving success.
|
||
|
||
Sources: 407, 414
|
||
2024-06-14 14:01:27,447 [DEBUG] eveai_chat_workers: ask_question: result citations: [407, 414]
|
||
2024-06-14 15:24:51,917 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the CIAM solutions offered by ae?. Processing...
|
||
2024-06-14 15:24:51,999 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the CIAM solutions offered by ae?
|
||
2024-06-14 15:24:52,869 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the CIAM solutions offered by ae?
|
||
|
||
Detailed question: What are the Customer Identity and Access Management (CIAM) solutions offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 15:24:52,880 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the Customer Identity and Access Management (CIAM) solutions offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 15:24:59,691 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a comprehensive Customer Identity and Access Management (CIAM) solution that includes several key components and features. Their CIAM solution is built on top of proven technology from Microsoft Entra ID (formerly Azure AD) and Okta, and is designed to cater to both individual consumers and organizations. The solution includes:
|
||
|
||
1. **Customised CIAM Solutions**: Tailored to fit the specific needs of the client, whether they are servicing consumers or organizations.
|
||
2. **Proven Methodology**: Implementation of a minimal viable product (MVP) within 60 days using a combination of their methodology and custom-made CIAM solution.
|
||
3. **Reusable Assets**: Ready-to-use components for faster integration, including dashboarding and monitoring features.
|
||
4. **AE CIAM API**: Integration with government identity services like CSAM and Itsme®, and Idence for enhancing self-service and access delegation features.
|
||
5. **AE CIAM Observability**: Real-time monitoring of the entire solution to maintain a continuous overview of all activities.
|
||
6. **AE CIAM Data Export**: Simplified data export functionality in various formats.
|
||
|
||
Additionally, ae provides post-implementation support, ensuring ongoing assistance and integration within the client's IT landscape.
|
||
|
||
Sources: 335, 341, 343, 342
|
||
2024-06-14 15:24:59,693 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 343, 342]
|
||
2024-06-14 15:28:52,584 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 15:28:52,593 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 15:28:52,593 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 15:29:27,045 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae have an offering on Security?. Processing...
|
||
2024-06-14 15:29:27,148 [ERROR] eveai_chat_workers: ask_question: Error processing question: 'RAG_TENANT'
|
||
2024-06-14 15:30:13,429 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 15:30:13,438 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 15:30:13,438 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 15:31:08,676 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does ae have an offering on Security?. Processing...
|
||
2024-06-14 15:31:08,972 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does ae have an offering on Security?
|
||
2024-06-14 15:31:09,770 [DEBUG] eveai_chat_workers: Original question:
|
||
Does ae have an offering on Security?
|
||
|
||
Detailed question: Does ae, a company based in Flanders, Belgium, have any offerings related to Security?
|
||
2024-06-14 15:31:09,777 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does ae, a company based in Flanders, Belgium, have any offerings related to Security?
|
||
2024-06-14 15:31:12,320 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae offers services related to Security. Specifically, they emphasize privacy and security by design during their agile development process and provide managed services that include cybersecurity to ensure the safety of IT infrastructure.
|
||
2024-06-14 15:31:12,322 [DEBUG] eveai_chat_workers: ask_question: result citations: [371, 414]
|
||
2024-06-14 15:31:12,323 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 15:32:45,766 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give more details on the safety of IT infrastructure?. Processing...
|
||
2024-06-14 15:32:45,847 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give more details on the safety of IT infrastructure?
|
||
2024-06-14 15:32:46,896 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give more details on the safety of IT infrastructure?
|
||
|
||
Detailed question: What specific measures or services does ae provide to ensure the safety of IT infrastructure?
|
||
2024-06-14 15:32:46,905 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What specific measures or services does ae provide to ensure the safety of IT infrastructure?
|
||
2024-06-14 15:32:50,702 [DEBUG] eveai_chat_workers: ask_question: result answer: ae provides several measures and services to ensure the safety of IT infrastructure. These include streamlining and securing the software delivery process, which involves increasing the quality, reliability, and security of the software delivery process to make the organization safer and more efficient. Additionally, ae offers IT Delivery & Performance solutions that focus on designing a secure target architecture and enhancing the security of the software delivery process. They also provide expertise in Customer Identity and Access Management (CIAM) to ensure secure and seamless digital user experiences by centralizing user data and authentication processes.
|
||
|
||
Sources: 334, 415, 410, 368, 341
|
||
2024-06-14 15:32:50,704 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 415, 410, 368, 341]
|
||
2024-06-14 15:32:50,705 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 15:33:17,208 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give a description of the software delivery process?. Processing...
|
||
2024-06-14 15:33:17,288 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give a description of the software delivery process?
|
||
2024-06-14 15:33:18,215 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give a description of the software delivery process?
|
||
|
||
Detailed question: What is the description of the software delivery process that ae, a company based in Flanders, Belgium, uses to ensure the safety and security of IT infrastructure?
|
||
2024-06-14 15:33:18,226 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the description of the software delivery process that ae, a company based in Flanders, Belgium, uses to ensure the safety and security of IT infrastructure?
|
||
2024-06-14 15:33:21,316 [DEBUG] eveai_chat_workers: ask_question: result answer: ae employs a comprehensive methodology to streamline and secure the software delivery process. This involves an initial assessment of the current IT capabilities through interviews with internal stakeholders, followed by a pilot implementation to demonstrate business value. If successful, the changes are rolled out across the organization. The methodology utilizes the DORA framework for structured evaluation and focuses on enhancing the "Developer Experience." A maturity model assesses SDLC capabilities, and an improvement roadmap prioritizes actions. Progress metrics are defined to monitor actual progress based on business objectives. This approach ensures increased quality, reliability, and security of the software delivery process, making the organization safer and more efficient.
|
||
2024-06-14 15:33:21,317 [DEBUG] eveai_chat_workers: ask_question: result citations: [367, 368]
|
||
2024-06-14 15:33:21,319 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 15:33:37,083 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What exactly is the DORA framework?. Processing...
|
||
2024-06-14 15:33:37,145 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What exactly is the DORA framework?
|
||
2024-06-14 15:33:38,633 [DEBUG] eveai_chat_workers: Original question:
|
||
What exactly is the DORA framework?
|
||
|
||
Detailed question: What exactly is the DORA framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:33:38,643 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What exactly is the DORA framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:33:41,406 [DEBUG] eveai_chat_workers: ask_question: result answer: The DORA (DevOps Research and Assessment) framework is a statistically validated and structured approach used by ae to evaluate the current IT capabilities of an organization. It serves as the basis for their assessment in the methodology to streamline and secure the software delivery process. The framework helps in identifying areas of improvement and provides a clear methodology to enhance the quality, reliability, and security of software development and delivery.
|
||
2024-06-14 15:33:41,408 [DEBUG] eveai_chat_workers: ask_question: result citations: [367, 368]
|
||
2024-06-14 15:33:41,412 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 15:34:07,049 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give the main components of the DORA framework?. Processing...
|
||
2024-06-14 15:34:07,108 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give the main components of the DORA framework?
|
||
2024-06-14 15:34:08,250 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give the main components of the DORA framework?
|
||
|
||
Detailed question: What are the main components of the DORA (DevOps Research and Assessment) framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:34:08,255 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the main components of the DORA (DevOps Research and Assessment) framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:34:10,926 [DEBUG] eveai_chat_workers: ask_question: result answer: The main components of the DORA (DevOps Research and Assessment) framework that ae uses in their methodology to streamline and secure the software delivery process include a statistically validated and structured approach to evaluate current IT capabilities. This framework helps in assessing the overall software delivery performance and identifying areas for improvement in quality, reliability, and security of software development and delivery.
|
||
2024-06-14 15:34:10,928 [DEBUG] eveai_chat_workers: ask_question: result citations: [367]
|
||
2024-06-14 15:34:10,930 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 15:35:04,068 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What roles are typically involved in implementing the DORA framework?. Processing...
|
||
2024-06-14 15:35:04,154 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What roles are typically involved in implementing the DORA framework?
|
||
2024-06-14 15:35:05,558 [DEBUG] eveai_chat_workers: Original question:
|
||
What roles are typically involved in implementing the DORA framework?
|
||
|
||
Detailed question: What roles are typically involved in implementing the DORA (DevOps Research and Assessment) framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:35:05,565 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What roles are typically involved in implementing the DORA (DevOps Research and Assessment) framework that ae, a company based in Flanders, Belgium, uses in their methodology to streamline and secure the software delivery process?
|
||
2024-06-14 15:35:07,587 [DEBUG] eveai_chat_workers: ask_question: result answer: The context does not provide specific details about the roles typically involved in implementing the DORA (DevOps Research and Assessment) framework that ae uses in their methodology to streamline and secure the software delivery process.
|
||
2024-06-14 15:35:07,589 [DEBUG] eveai_chat_workers: ask_question: result citations: [367, 368]
|
||
2024-06-14 15:35:07,590 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 16:46:49,428 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 16:46:49,438 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 16:46:49,438 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 16:47:26,945 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the services offered by ae?. Processing...
|
||
2024-06-14 16:47:27,216 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the services offered by ae?
|
||
2024-06-14 16:47:31,138 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the services offered by ae?
|
||
|
||
Detailed question: What are the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:47:31,146 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the services offered by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:47:37,560 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a wide range of services including:
|
||
|
||
1. **Inspire**: Fueling businesses with creativity and innovation to drive new ideas and growth.
|
||
2. **Strategic Advice**: Providing insightful guidance to navigate business complexities and foster sustainable growth.
|
||
3. **IT Consultancy**: Offering strategic insights and technical expertise to optimize IT infrastructure and technology investments.
|
||
4. **IT Team Extension**: Enhancing team capabilities by providing skilled professionals to complement in-house talent.
|
||
5. **Managed Services**: Handling system maintenance, cybersecurity, and overall IT infrastructure management to allow businesses to focus on their core activities.
|
||
6. **Application Development**: Building innovative digital solutions tailored to meet specific business requirements.
|
||
7. **IT Team Extension**: Providing access to a diverse team of skilled professionals ready to contribute to project success.
|
||
8. **Strategic Advice**: Aligning strategic advice and innovative thinking with business goals to navigate challenges and identify growth opportunities.
|
||
9. **Managed Services**: Managing and maintaining software and infrastructure to allow businesses to focus on their core activities.
|
||
10. **IT Consultancy**: Ensuring cost-effective and efficient project delivery through skilled IT experts.
|
||
11. **Application Development**: Transforming ideas into reality with innovative digital solutions.
|
||
|
||
Additionally, ae offers specific solutions such as Data & AI, CIAM, Digital Talent & Organisation, Document Hyperautomation, Applications, Digital Strategy & Innovation, Business & IT Architecture, IT Delivery & Performance, Cloud & Hybrid.
|
||
|
||
They also provide methodologies for creating seamless customer experiences, including customer journey mapping, workshops, prototyping, and creating blueprints and roadmaps.
|
||
|
||
2024-06-14 16:47:37,562 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 371, 414, 407]
|
||
2024-06-14 16:47:37,563 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:47:54,520 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you specify nr 10?. Processing...
|
||
2024-06-14 16:47:54,597 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you specify nr 10?
|
||
2024-06-14 16:47:57,965 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you specify nr 10?
|
||
|
||
Detailed question: Can you specify the IT Consultancy services offered by ae, a company based in Flanders, Belgium, particularly focusing on ensuring cost-effective and efficient project delivery through skilled IT experts?
|
||
2024-06-14 16:47:57,978 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you specify the IT Consultancy services offered by ae, a company based in Flanders, Belgium, particularly focusing on ensuring cost-effective and efficient project delivery through skilled IT experts?
|
||
2024-06-14 16:48:00,658 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers IT Consultancy services that focus on ensuring cost-effective and efficient project delivery through their skilled IT experts. Their consultancy services include providing strategic advice, extending IT teams with diverse skill sets, and managing services to allow businesses to focus on their core operations. ae's experts are equipped to deliver innovative digital solutions, streamline software delivery processes, and enhance organizational agility and performance.
|
||
2024-06-14 16:48:00,660 [DEBUG] eveai_chat_workers: ask_question: result citations: [334]
|
||
2024-06-14 16:48:00,661 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:48:39,106 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more details on the CIAM offereing?. Processing...
|
||
2024-06-14 16:48:39,179 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me more details on the CIAM offereing?
|
||
2024-06-14 16:48:40,243 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me more details on the CIAM offereing?
|
||
|
||
Detailed question: Can you provide more details on the CIAM (Customer Identity and Access Management) offering by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:48:40,255 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details on the CIAM (Customer Identity and Access Management) offering by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:48:46,701 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a comprehensive Customer Identity and Access Management (CIAM) solution designed to ensure secure and seamless digital user experiences by centralizing user data and authentication processes. Their CIAM solution is built on top of proven technologies like Microsoft Entra ID (formerly Azure AD) and Okta, and is tailored to meet the needs of both individual consumers and organizations. Key features of ae's CIAM offering include:
|
||
|
||
1. **Security and Data Privacy**: Ensures strong security measures and compliance with privacy regulations.
|
||
2. **Customizable User Experiences**: Allows digital and marketing teams to create value with personalized user experiences.
|
||
3. **Proven Methodology**: Implementation of a minimal viable product (MVP) within 60 days using a proven methodology.
|
||
4. **Reusable Assets**: Includes ready-to-use dashboarding, monitoring features, and integration with government identity services like CSAM and Itsme®.
|
||
5. **Observability**: Provides real-time monitoring of the entire solution.
|
||
6. **Data Export**: Simplifies the process of exporting data in various formats.
|
||
7. **End-to-End Solution**: Offers integration into existing IT landscapes and post-implementation support.
|
||
|
||
ae's CIAM solution is designed to enhance customer engagement, streamline onboarding, and improve overall customer experience while maintaining high security standards.
|
||
|
||
Sources: 335, 341, 342, 343
|
||
2024-06-14 16:48:46,702 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 342, 343]
|
||
2024-06-14 16:48:46,703 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:49:09,407 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you explain what CSAM is?. Processing...
|
||
2024-06-14 16:49:09,491 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you explain what CSAM is?
|
||
2024-06-14 16:49:10,644 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you explain what CSAM is?
|
||
|
||
Detailed question: What is CSAM, and how is it integrated into ae's Customer Identity and Access Management (CIAM) solution?
|
||
2024-06-14 16:49:10,650 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is CSAM, and how is it integrated into ae's Customer Identity and Access Management (CIAM) solution?
|
||
2024-06-14 16:49:15,527 [DEBUG] eveai_chat_workers: ask_question: result answer: CSAM, or the Belgian government's identity service, is integrated into ae's Customer Identity and Access Management (CIAM) solution through the AE CIAM API. This integration helps enhance self-service and access delegation features, providing a streamlined and secure identity management process for users.
|
||
2024-06-14 16:49:15,529 [DEBUG] eveai_chat_workers: ask_question: result citations: [343, 342]
|
||
2024-06-14 16:49:15,531 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:49:48,864 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more detailed information on CSAM?. Processing...
|
||
2024-06-14 16:49:48,948 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me more detailed information on CSAM?
|
||
2024-06-14 16:49:50,015 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me more detailed information on CSAM?
|
||
|
||
Detailed question: What is CSAM, the Belgian government's identity service, and how does it function within the context of identity management and digital services?
|
||
2024-06-14 16:49:50,028 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is CSAM, the Belgian government's identity service, and how does it function within the context of identity management and digital services?
|
||
2024-06-14 16:49:53,365 [DEBUG] eveai_chat_workers: ask_question: result answer: CSAM (Central Authentication and Single Sign-On Management) is a Belgian government identity service that facilitates secure and streamlined access to various digital services. Within the context of identity management, CSAM integrates with Customer Identity and Access Management (CIAM) solutions to enhance self-service and access delegation features. This integration ensures that users can securely authenticate themselves and manage their identities across different platforms and services, thereby improving the overall customer experience and security compliance.
|
||
2024-06-14 16:49:53,367 [DEBUG] eveai_chat_workers: ask_question: result citations: [343, 342]
|
||
2024-06-14 16:49:53,368 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:50:35,894 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is Single Sign-On Management?. Processing...
|
||
2024-06-14 16:50:35,987 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is Single Sign-On Management?
|
||
2024-06-14 16:50:37,289 [DEBUG] eveai_chat_workers: Original question:
|
||
What is Single Sign-On Management?
|
||
|
||
Detailed question: What is Single Sign-On Management (SSO), and how does it function within the context of identity management and digital services?
|
||
2024-06-14 16:50:37,299 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is Single Sign-On Management (SSO), and how does it function within the context of identity management and digital services?
|
||
2024-06-14 16:50:40,010 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not specifically mention Single Sign-On Management (SSO) or its functionality within identity management and digital services. Therefore, I have insufficient information to answer this question.
|
||
2024-06-14 16:50:40,012 [DEBUG] eveai_chat_workers: ask_question: result citations: [343, 342, 335, 341, 355]
|
||
2024-06-14 16:50:40,013 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 16:50:40,121 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is Single Sign-On Management?
|
||
2024-06-14 16:50:41,565 [DEBUG] eveai_chat_workers: Original question:
|
||
What is Single Sign-On Management?
|
||
|
||
Detailed question: What is Single Sign-On Management (SSO), and how does it function within the context of identity management and digital services?
|
||
2024-06-14 16:55:06,287 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you explain the CIAM offering of ae?. Processing...
|
||
2024-06-14 16:55:06,366 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you explain the CIAM offering of ae?
|
||
2024-06-14 16:55:07,232 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you explain the CIAM offering of ae?
|
||
|
||
Detailed question: Can you explain the Customer Identity and Access Management (CIAM) offering provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:55:07,244 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you explain the Customer Identity and Access Management (CIAM) offering provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:55:11,759 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, a company based in Flanders, Belgium, offers a comprehensive Customer Identity and Access Management (CIAM) solution designed to ensure secure and seamless digital user experiences by centralizing user data and authentication processes. The CIAM solution provided by ae is built on top of proven technologies such as Microsoft Entra ID (formerly Azure AD) and Okta, and is customized to meet the specific needs of both individual consumers and organizations. Key features of ae's CIAM offering include enhanced security, data privacy, infrastructure scalability, and the ability to create customized user experiences that add value for digital and marketing teams. ae's CIAM solution also supports self-service options, streamlined onboarding, and compliance with privacy regulations. Additionally, ae promises to implement a minimal viable product (MVP) within 60 days, leveraging their proven methodology and reusable components to accelerate integration into existing IT landscapes. Post-implementation support and real-time monitoring are also provided to ensure continuous oversight and efficiency.
|
||
2024-06-14 16:55:11,761 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 343, 342]
|
||
2024-06-14 16:55:11,762 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:55:38,118 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Does it offer integration with CSAM?. Processing...
|
||
2024-06-14 16:55:38,201 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Does it offer integration with CSAM?
|
||
2024-06-14 16:55:41,126 [DEBUG] eveai_chat_workers: Original question:
|
||
Does it offer integration with CSAM?
|
||
|
||
Detailed question: Does the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium, offer integration with the Centralized Security and Access Management (CSAM) system?
|
||
2024-06-14 16:55:41,138 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Does the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium, offer integration with the Centralized Security and Access Management (CSAM) system?
|
||
2024-06-14 16:55:43,143 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, the Customer Identity and Access Management (CIAM) solution provided by ae offers integration with the Centralized Security and Access Management (CSAM) system.
|
||
2024-06-14 16:55:43,145 [DEBUG] eveai_chat_workers: ask_question: result citations: [343, 342]
|
||
2024-06-14 16:55:43,146 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:55:56,121 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me some more details on CSAM?. Processing...
|
||
2024-06-14 16:55:56,202 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me some more details on CSAM?
|
||
2024-06-14 16:55:58,222 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me some more details on CSAM?
|
||
|
||
Detailed question: Can you provide more details on the Centralized Security and Access Management (CSAM) system and how it integrates with the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:55:58,228 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details on the Centralized Security and Access Management (CSAM) system and how it integrates with the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:56:01,521 [DEBUG] eveai_chat_workers: ask_question: result answer: The Centralized Security and Access Management (CSAM) system can be integrated with ae's Customer Identity and Access Management (CIAM) solution through the AE CIAM API. This integration allows for the seamless incorporation of government identity services, such as CSAM, into the CIAM framework. By doing so, ae enhances the self-service and access delegation features of their CIAM solution, ensuring a more streamlined and secure user experience. Additionally, ae's CIAM solution is built on proven technologies like Microsoft Entra ID (formerly Azure AD) and Okta, which further supports robust security and integration capabilities.
|
||
2024-06-14 16:56:01,524 [DEBUG] eveai_chat_workers: ask_question: result citations: [343, 342]
|
||
2024-06-14 16:56:01,525 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:56:38,148 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me more details on CIAM?. Processing...
|
||
2024-06-14 16:56:38,222 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me more details on CIAM?
|
||
2024-06-14 16:56:39,594 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me more details on CIAM?
|
||
|
||
Detailed question: Can you provide more details on the Customer Identity and Access Management (CIAM) solution offered by ae, a company based in Flanders, Belgium, including its key features, technologies used, and how it integrates with other systems such as the Centralized Security and Access Management (CSAM) system?
|
||
2024-06-14 16:56:39,608 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you provide more details on the Customer Identity and Access Management (CIAM) solution offered by ae, a company based in Flanders, Belgium, including its key features, technologies used, and how it integrates with other systems such as the Centralized Security and Access Management (CSAM) system?
|
||
2024-06-14 16:56:47,726 [DEBUG] eveai_chat_workers: ask_question: result answer: ae offers a comprehensive Customer Identity and Access Management (CIAM) solution that ensures secure and seamless digital user experiences by centralizing user data and authentication processes. The key features of ae's CIAM solution include:
|
||
|
||
1. **Customizable User Experiences**: CIAM is a strong tool for digital and marketing teams to create value with customized user experiences.
|
||
2. **Security and Data Privacy**: It encompasses security, data privacy, and infrastructure.
|
||
3. **Proven Methodology**: ae implements a minimal viable product (MVP) within 60 days using a combination of their proven methodology and custom-made CIAM solution.
|
||
4. **Reusable Assets**: ae has developed multiple reusable components designed to accelerate the integration of CIAM solutions into existing landscapes, including out-of-the-box dashboarding and monitoring features.
|
||
5. **Integration with Government Identity Services**: ae's CIAM solution can integrate with government identity services such as CSAM and Itsme®.
|
||
6. **Real-Time Monitoring**: They offer real-time monitoring across the entire solution to maintain a continuous overview of all activities.
|
||
7. **Data Export Functionality**: Their data export functionality simplifies the process of exporting data in various formats.
|
||
|
||
The CIAM solution is powered by Microsoft Entra ID (formerly Azure AD) and Okta, which allows ae to deliver a customized solution that fits specific needs. Additionally, ae provides post-implementation support to ensure the solution continues to meet the client's requirements.
|
||
|
||
Overall, ae's CIAM solution is designed to streamline customer identity management, improve customer experience, enhance security, and ensure compliance with privacy regulations.
|
||
|
||
Sources: 335, 341, 342, 343
|
||
2024-06-14 16:56:47,729 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 342, 343]
|
||
2024-06-14 16:56:47,730 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:57:35,959 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is SSO in this context?. Processing...
|
||
2024-06-14 16:57:36,036 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is SSO in this context?
|
||
2024-06-14 16:57:37,243 [DEBUG] eveai_chat_workers: Original question:
|
||
What is SSO in this context?
|
||
|
||
Detailed question: What is Single Sign-On (SSO) and how does it relate to the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:57:37,252 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is Single Sign-On (SSO) and how does it relate to the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:57:43,149 [DEBUG] eveai_chat_workers: ask_question: result answer: Single Sign-On (SSO) is a user authentication process that allows a user to access multiple applications with one set of login credentials. This simplifies the user experience by reducing the need to remember multiple usernames and passwords and enhances security by centralizing authentication processes.
|
||
|
||
In the context of ae's Customer Identity and Access Management (CIAM) solution, SSO is a critical feature. AE's CIAM solution, built on top of Microsoft Entra ID (formerly Azure AD) and Okta, leverages SSO to provide secure and seamless digital user experiences. By centralizing user data and authentication processes, ae's CIAM solution ensures that users can easily and securely access multiple services and applications without the need for multiple logins, thereby improving customer engagement and building lasting digital relationships.
|
||
|
||
Additionally, ae's CIAM solution includes features such as self-service options, strong security for data and accounts, and compliance with privacy regulations, all of which are enhanced by the implementation of SSO.
|
||
|
||
Sources: 335, 341, 343, 342
|
||
2024-06-14 16:57:43,151 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 343, 342]
|
||
2024-06-14 16:57:43,153 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 16:58:00,203 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give a detailed overview of SSO?. Processing...
|
||
2024-06-14 16:58:00,278 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give a detailed overview of SSO?
|
||
2024-06-14 16:58:01,497 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give a detailed overview of SSO?
|
||
|
||
Detailed question: Can you give a detailed overview of Single Sign-On (SSO) and explain how it is implemented within the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:58:01,508 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can you give a detailed overview of Single Sign-On (SSO) and explain how it is implemented within the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 16:58:03,468 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not offer specific details about Single Sign-On (SSO) or its implementation within the Customer Identity and Access Management (CIAM) solution provided by ae. Therefore, I have insufficient information to answer this question.
|
||
2024-06-14 16:58:03,470 [DEBUG] eveai_chat_workers: ask_question: result citations: [335, 341, 343, 342, 398]
|
||
2024-06-14 16:58:03,472 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 16:58:03,623 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give a detailed overview of SSO?
|
||
2024-06-14 16:58:04,810 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give a detailed overview of SSO?
|
||
|
||
Detailed question: Can you give a detailed overview of Single Sign-On (SSO) and explain how it is implemented within the Customer Identity and Access Management (CIAM) solution provided by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:04:30,667 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can ae help me setup a datalake for my organisation?. Processing...
|
||
2024-06-14 17:04:30,736 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can ae help me setup a datalake for my organisation?
|
||
2024-06-14 17:04:32,036 [DEBUG] eveai_chat_workers: Original question:
|
||
Can ae help me setup a datalake for my organisation?
|
||
|
||
Detailed question: Can the company ae, based in Flanders, Belgium, assist me in setting up a data lake for my organization?
|
||
2024-06-14 17:04:32,048 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can the company ae, based in Flanders, Belgium, assist me in setting up a data lake for my organization?
|
||
2024-06-14 17:04:35,953 [DEBUG] eveai_chat_workers: ask_question: result answer: Yes, ae can assist you in setting up a data lake for your organization. They offer services to help build a modern data platform, which includes collecting, consolidating, and organizing data. Their approach involves tailoring solutions to your needs, implementing data platforms, and ensuring successful operation. They also emphasize the use of cloud-native technologies, security, and strong partnerships to meet specific organizational needs.
|
||
|
||
Sources: 337, 338, 339, 340
|
||
2024-06-14 17:04:35,956 [DEBUG] eveai_chat_workers: ask_question: result citations: [337, 338, 339, 340]
|
||
2024-06-14 17:04:35,957 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 17:05:03,151 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can they also help me with MLOps?. Processing...
|
||
2024-06-14 17:05:03,224 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can they also help me with MLOps?
|
||
2024-06-14 17:05:04,170 [DEBUG] eveai_chat_workers: Original question:
|
||
Can they also help me with MLOps?
|
||
|
||
Detailed question: Can ae, the company based in Flanders, Belgium, also help me with MLOps?
|
||
2024-06-14 17:05:04,185 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Can ae, the company based in Flanders, Belgium, also help me with MLOps?
|
||
2024-06-14 17:05:06,595 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not mention MLOps specifically. Therefore, I have insufficient information to answer this question.
|
||
2024-06-14 17:05:06,596 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 340, 371, 396, 398]
|
||
2024-06-14 17:05:06,597 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 17:05:17,515 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is MLOps?. Processing...
|
||
2024-06-14 17:05:17,598 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is MLOps?
|
||
2024-06-14 17:05:20,057 [DEBUG] eveai_chat_workers: Original question:
|
||
What is MLOps?
|
||
|
||
Detailed question: What is MLOps, and can ae, the company based in Flanders, Belgium, assist with it?
|
||
2024-06-14 17:05:20,070 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is MLOps, and can ae, the company based in Flanders, Belgium, assist with it?
|
||
2024-06-14 17:05:24,013 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not define MLOps directly. However, ae, a company based in Flanders, Belgium, can assist with the operationalisation of Machine Learning (ML) and Artificial Intelligence (AI) as part of their Data & AI solutions. They focus on enabling data products, unlocking the value of data, and providing a robust data platform to support data-driven decision-making.
|
||
|
||
For more information on ae's Data & AI solutions, you can refer to their services on data infrastructure, technology, and the operationalisation of ML and AI.
|
||
|
||
Sources: 338
|
||
2024-06-14 17:05:24,015 [DEBUG] eveai_chat_workers: ask_question: result citations: [338]
|
||
2024-06-14 17:05:24,017 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 17:05:49,082 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Can you give me a detailed description of MLOps?. Processing...
|
||
2024-06-14 17:05:49,179 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Can you give me a detailed description of MLOps?
|
||
2024-06-14 17:05:50,192 [DEBUG] eveai_chat_workers: Original question:
|
||
Can you give me a detailed description of MLOps?
|
||
|
||
Detailed question: What is MLOps, and how does it relate to the operationalization of Machine Learning (ML) and Artificial Intelligence (AI)?
|
||
2024-06-14 17:05:50,199 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is MLOps, and how does it relate to the operationalization of Machine Learning (ML) and Artificial Intelligence (AI)?
|
||
2024-06-14 17:05:55,247 [DEBUG] eveai_chat_workers: ask_question: result answer: MLOps, or Machine Learning Operations, refers to the practices and tools used to deploy, manage, and monitor machine learning models in production. It is a crucial aspect of the operationalization of Machine Learning (ML) and Artificial Intelligence (AI), which involves integrating these models into the broader data infrastructure and technology landscape of an organization. By operationalizing ML and AI, organizations can ensure that their models are not only developed but also maintained, scaled, and continuously improved to deliver real business value. This process includes aspects such as data accessibility, data governance, and the overall data platform, which are essential for enabling efficient and effective ML and AI solutions.
|
||
|
||
At ae, the operationalization of ML and AI is one of the key data enablers that help unlock the value of data, driving informed decisions and propelling business growth. This involves creating a future-proof, secure, and user-friendly data platform that can deliver valuable insights on the fly.
|
||
|
||
2024-06-14 17:05:55,249 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339]
|
||
2024-06-14 17:05:55,250 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-14 17:06:20,514 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What are the typical MLOps processes?. Processing...
|
||
2024-06-14 17:06:20,622 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the typical MLOps processes?
|
||
2024-06-14 17:06:21,741 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the typical MLOps processes?
|
||
|
||
Detailed question: What are the typical processes involved in Machine Learning Operations (MLOps), and how do they contribute to the deployment, management, and monitoring of machine learning models in production?
|
||
2024-06-14 17:06:21,747 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What are the typical processes involved in Machine Learning Operations (MLOps), and how do they contribute to the deployment, management, and monitoring of machine learning models in production?
|
||
2024-06-14 17:06:23,266 [DEBUG] eveai_chat_workers: ask_question: result answer: I have insufficient information to answer this question.
|
||
2024-06-14 17:06:23,268 [DEBUG] eveai_chat_workers: ask_question: result citations: []
|
||
2024-06-14 17:06:23,270 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 17:06:23,367 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What are the typical MLOps processes?
|
||
2024-06-14 17:06:24,682 [DEBUG] eveai_chat_workers: Original question:
|
||
What are the typical MLOps processes?
|
||
|
||
Detailed question: What are the typical processes involved in Machine Learning Operations (MLOps), and how do they contribute to the deployment, management, and monitoring of machine learning models in production?
|
||
2024-06-14 17:08:01,432 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-14 17:08:01,443 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-14 17:08:01,443 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-14 17:09:08,765 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is python?. Processing...
|
||
2024-06-14 17:09:09,045 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is python?
|
||
2024-06-14 17:09:10,980 [DEBUG] eveai_chat_workers: Original question:
|
||
What is python?
|
||
|
||
Detailed question: What is the Python programming language, and how is it used in the context of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:09:10,992 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the Python programming language, and how is it used in the context of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:09:13,419 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not contain any specific information about the Python programming language or its use within ae, a company based in Flanders, Belgium.
|
||
2024-06-14 17:09:13,421 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 371, 398, 340, 353]
|
||
2024-06-14 17:09:13,423 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 17:09:13,576 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is python?
|
||
2024-06-14 17:09:14,462 [DEBUG] eveai_chat_workers: Original question:
|
||
What is python?
|
||
|
||
Detailed question: What is the Python programming language, and how is it used in the context of ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:09:51,181 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: What is Python?. Processing...
|
||
2024-06-14 17:09:51,254 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is Python?
|
||
2024-06-14 17:09:52,325 [DEBUG] eveai_chat_workers: Original question:
|
||
What is Python?
|
||
|
||
Detailed question: What is the programming language Python, and how is it used by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:09:52,337 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: What is the programming language Python, and how is it used by ae, a company based in Flanders, Belgium?
|
||
2024-06-14 17:09:54,117 [DEBUG] eveai_chat_workers: ask_question: result answer: The provided context does not contain specific information about the programming language Python or how it is used by ae, a company based in Flanders, Belgium.
|
||
2024-06-14 17:09:54,119 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 371, 398, 340, 353]
|
||
2024-06-14 17:09:54,120 [DEBUG] eveai_chat_workers: ask_question: insufficient information: True
|
||
2024-06-14 17:09:54,236 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: What is Python?
|
||
2024-06-14 17:09:55,325 [DEBUG] eveai_chat_workers: Original question:
|
||
What is Python?
|
||
|
||
Detailed question: What is the programming language Python, and how is it used by ae, a company based in Flanders, Belgium?
|
||
2024-06-17 10:12:57,271 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-17 10:12:57,280 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-17 10:12:57,280 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-17 10:19:58,986 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Welke diensten levert ae?. Processing...
|
||
2024-06-17 10:19:59,289 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Welke diensten levert ae?
|
||
2024-06-17 10:20:00,350 [DEBUG] eveai_chat_workers: Original question:
|
||
Welke diensten levert ae?
|
||
|
||
Detailed question: Welke diensten levert ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:20:00,355 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Welke diensten levert ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:20:07,731 [DEBUG] eveai_chat_workers: ask_question: result answer: ae, een bedrijf gevestigd in Vlaanderen, België, levert een breed scala aan diensten, waaronder:
|
||
|
||
1. **Inspire**: Creativiteit en innovatie stimuleren binnen bedrijven.
|
||
2. **Strategisch Advies**: Inzichtelijke begeleiding bieden om weloverwogen beslissingen te nemen en duurzame groei te bevorderen.
|
||
3. **IT Consultancy**: Strategische inzichten en technische expertise bieden om IT-investeringen te optimaliseren.
|
||
4. **IT Team Extension**: Aanvullen van interne teams met bekwame professionals voor een efficiënte workflow.
|
||
5. **Managed Services**: Beheer en onderhoud van IT-infrastructuur, inclusief systeemonderhoud en cybersecurity.
|
||
6. **Applicatieontwikkeling**: Ontwikkelen van innovatieve digitale oplossingen op maat.
|
||
7. **Data & AI**: Oplossingen op het gebied van data en kunstmatige intelligentie.
|
||
8. **CIAM**: Customer Identity and Access Management oplossingen.
|
||
9. **Digitale Strategie & Innovatie**: Strategische digitale oplossingen en innovatie.
|
||
10. **Business & IT Architectuur**: Architectuuroplossingen voor bedrijfs- en IT-processen.
|
||
11. **IT Delivery & Performance**: Verbetering van IT-levering en prestaties.
|
||
12. **Cloud & Hybrid**: Oplossingen voor cloud en hybride omgevingen.
|
||
13. **Document Hyperautomation**: Hyperautomatisering van documenten.
|
||
14. **Digital Talent & Organisation**: Digitale talent- en organisatieoplossingen.
|
||
|
||
Deze diensten helpen bedrijven te groeien door een combinatie van mensen, processen en technologie te benutten.
|
||
|
||
2024-06-17 10:20:07,732 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 398, 414, 413, 407]
|
||
2024-06-17 10:20:07,733 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-17 10:21:06,099 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Kan je in meer detail beschrijven wat de Data & AI diensten inhouden?. Processing...
|
||
2024-06-17 10:21:06,174 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Kan je in meer detail beschrijven wat de Data & AI diensten inhouden?
|
||
2024-06-17 10:21:07,219 [DEBUG] eveai_chat_workers: Original question:
|
||
Kan je in meer detail beschrijven wat de Data & AI diensten inhouden?
|
||
|
||
Detailed question: Kan je in meer detail beschrijven wat de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België, inhouden?
|
||
2024-06-17 10:21:07,230 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Kan je in meer detail beschrijven wat de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België, inhouden?
|
||
2024-06-17 10:21:15,183 [DEBUG] eveai_chat_workers: ask_question: result answer: De Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België, zijn gericht op het helpen van bedrijven om een concurrentievoordeel te behalen, echte bedrijfswaarde te creëren, kosten te verlagen en risico's te verminderen door hun dataproducten te benutten. Hier is een gedetailleerd overzicht van hun diensten:
|
||
|
||
1. **Data Producten Realiseren**: ae helpt bij het realiseren van een dataproduct uit een of meer business cases met een duidelijke ROI. Dit biedt inzichten in de volwassenheid van verschillende data enablers, zodat ze samen versterkt kunnen worden.
|
||
|
||
2. **Data Enabler Maturity Assessment**: ae kan beginnen met een assessment waarin een heatmap-oefening wordt uitgevoerd om de volwassenheid van data enablers te schatten. Hieruit wordt een eindbestemming getrokken, inclusief een roadmap om de data enablers samen te versterken.
|
||
|
||
3. **Belangrijkste Data Enablers**: De belangrijkste data enablers die ae benadrukt zijn:
|
||
- Leiderschap & Cultuur
|
||
- Data-infrastructuur en Technologie
|
||
- Operationalisatie van ML en AI
|
||
- Data Toegankelijkheid
|
||
- Data Governance
|
||
|
||
4. **Data Platform Verhogen**: Het verzamelen, consolideren en organiseren van data is een belangrijke stap om een data-gedreven organisatie te worden. Een toekomstbestendig, veilig en gebruiksvriendelijk dataplatform is cruciaal om waardevolle inzichten snel te leveren.
|
||
|
||
5. **Methodologie om Waarde van Data te Ontsluiten**: ae gebruikt een methodologie die begint met het identificeren van de meest waardevolle business case, het bouwen van een proof of value, en vervolgens het integreren van de oplossing in de dagelijkse operaties.
|
||
|
||
6. **Hands-on Tools en Diensten**: ae biedt verschillende hands-on tools en diensten zoals interviews en data-assessments, workshops en ideatie, prototyping, integratieontwerp, en training en coaching.
|
||
|
||
7. **Focus op ROI**: ae legt de nadruk op het behalen van een echte ROI voordat verdere business cases en end-to-end integratie worden overwogen.
|
||
|
||
8. **End-to-End Partner**: ae positioneert zich als een end-to-end partner, die niet alleen technologie levert, maar ook strategisch advies en volledige implementatie van processen en applicaties biedt.
|
||
|
||
Door deze diensten helpt ae bedrijven om waardevolle inzichten te verkrijgen, geïnformeerde beslissingen te nemen en groei te stimuleren.
|
||
|
||
Bronnen: 334, 338, 339, 337
|
||
2024-06-17 10:21:15,185 [DEBUG] eveai_chat_workers: ask_question: result citations: [334, 338, 339, 337]
|
||
2024-06-17 10:21:15,186 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-17 10:25:34,477 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Wat bedoel je precies met 4?. Processing...
|
||
2024-06-17 10:25:34,549 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Wat bedoel je precies met 4?
|
||
2024-06-17 10:25:35,538 [DEBUG] eveai_chat_workers: Original question:
|
||
Wat bedoel je precies met 4?
|
||
|
||
Detailed question: Wat bedoel je precies met "Data Platform Verhogen" in de context van de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:25:35,544 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Wat bedoel je precies met "Data Platform Verhogen" in de context van de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:25:40,165 [DEBUG] eveai_chat_workers: ask_question: result answer: In de context van de Data & AI diensten van ae, betekent "Data Platform Verhogen" het verzamelen, consolideren en organiseren van data om een data-gedreven organisatie te worden. Dit omvat het bouwen van een toekomstbestendig, veilig en gebruiksvriendelijk data platform dat waardevolle inzichten in real-time kan leveren. Een modern data platform heeft vier belangrijke taken: het verzamelen van data uit verschillende bronnen, het tijdig en correct verwerken van de verzamelde data, het opslaan van alle data in een geschikt formaat, en ervoor zorgen dat gebruikers deze data kunnen gebruiken. ae gebruikt een modulaire ontwerpbenadering voor hun data platformen, zodat componenten kunnen worden verwisseld naarmate technologieën evolueren. Dit alles helpt organisaties om de tijd tot data-inzichten te verkorten, teams te versterken, data te productiseren en werk te automatiseren.
|
||
2024-06-17 10:25:40,167 [DEBUG] eveai_chat_workers: ask_question: result citations: [338, 339, 340]
|
||
2024-06-17 10:25:40,168 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-17 10:27:27,604 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Wat bedoelt men precies met een modulaire ontwerpbenadering?. Processing...
|
||
2024-06-17 10:27:27,678 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Wat bedoelt men precies met een modulaire ontwerpbenadering?
|
||
2024-06-17 10:27:28,723 [DEBUG] eveai_chat_workers: Original question:
|
||
Wat bedoelt men precies met een modulaire ontwerpbenadering?
|
||
|
||
Detailed question: Wat bedoelt men precies met een modulaire ontwerpbenadering in de context van de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:27:28,733 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Wat bedoelt men precies met een modulaire ontwerpbenadering in de context van de Data & AI diensten van ae, een bedrijf gevestigd in Vlaanderen, België?
|
||
2024-06-17 10:27:34,409 [DEBUG] eveai_chat_workers: ask_question: result answer: In de context van de Data & AI diensten van ae verwijst een modulaire ontwerpbenadering naar het proces waarbij data producten stapsgewijs worden ontwikkeld en geïmplementeerd. Dit begint met het identificeren van de meest waardevolle business case en het bewijzen van de ROI (Return on Investment) met een beperkte investering. Vervolgens wordt een prototype ontwikkeld en getest om de verwachte waarde te valideren. Als de ROI positief is, wordt het prototype volledig geïntegreerd in de dagelijkse operaties. Deze aanpak zorgt ervoor dat elke stap waarde toevoegt en risico's worden geminimaliseerd voordat verdere investeringen worden gedaan.
|
||
|
||
Bronnen: 337, 339
|
||
2024-06-17 10:27:34,411 [DEBUG] eveai_chat_workers: ask_question: result citations: [337, 339]
|
||
2024-06-17 10:27:34,412 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-17 10:29:36,970 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Ik heb een nood binnen mijn bedrijf om een nieuw data platform te realiseren om onze operationele werking te verbeteren. Hoe kan ae me helpen?. Processing...
|
||
2024-06-17 10:29:37,043 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Ik heb een nood binnen mijn bedrijf om een nieuw data platform te realiseren om onze operationele werking te verbeteren. Hoe kan ae me helpen?
|
||
2024-06-17 10:29:38,108 [DEBUG] eveai_chat_workers: Original question:
|
||
Ik heb een nood binnen mijn bedrijf om een nieuw data platform te realiseren om onze operationele werking te verbeteren. Hoe kan ae me helpen?
|
||
|
||
Detailed question: Ik heb een nood binnen mijn bedrijf om een nieuw data platform te realiseren om onze operationele werking te verbeteren. Hoe kan ae, een bedrijf gevestigd in Vlaanderen, België, me helpen?
|
||
2024-06-17 10:29:38,119 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Ik heb een nood binnen mijn bedrijf om een nieuw data platform te realiseren om onze operationele werking te verbeteren. Hoe kan ae, een bedrijf gevestigd in Vlaanderen, België, me helpen?
|
||
2024-06-17 10:29:42,032 [DEBUG] eveai_chat_workers: ask_question: result answer: ae kan je helpen bij het realiseren van een nieuw data platform door hun drie-stappen aanpak: Think, Build, Run.
|
||
|
||
1. **Think:** ae voert kwalitatieve interviews met stakeholders en project sponsors om inzicht te krijgen in concrete bedrijfsbehoeften en helpt bij het finaliseren van de doelarchitectuur.
|
||
|
||
2. **Build:** ae gebruikt hun platformversnellers om een data platform op maat te implementeren en bewijst de toegevoegde waarde van het platform door echte business cases te implementeren.
|
||
|
||
3. **Run:** ae zorgt ervoor dat het platform een succes wordt door technologieën te kiezen op basis van jouw specifieke behoeften en huidige situatie. Dit omvat cloud-native technologieën, een focus op veiligheid en sterke partnerschappen.
|
||
|
||
Daarnaast biedt ae voordelen zoals verminderde tijd tot data-inzichten, empowerment van je teams, productisering van je data en automatisering van je werk.
|
||
|
||
Bronnen: 340, 338
|
||
2024-06-17 10:29:42,034 [DEBUG] eveai_chat_workers: ask_question: result citations: [340, 338]
|
||
2024-06-17 10:29:42,035 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
|
||
2024-06-20 11:26:08,597 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
|
||
2024-06-20 11:26:08,606 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
|
||
2024-06-20 11:26:08,606 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
|
||
2024-06-20 11:26:54,590 [INFO] eveai_chat_workers: ask_question: Received question for tenant 39: Kan ae me helpen om applicaties voor mijn organisatie te bouwen?. Processing...
|
||
2024-06-20 11:26:54,882 [DEBUG] eveai_chat_workers: Retrieving history of interactions for query: Kan ae me helpen om applicaties voor mijn organisatie te bouwen?
|
||
2024-06-20 11:26:56,004 [DEBUG] eveai_chat_workers: Original question:
|
||
Kan ae me helpen om applicaties voor mijn organisatie te bouwen?
|
||
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Detailed question: Kan het bedrijf ae, gevestigd in Vlaanderen, België, mij helpen om applicaties voor mijn organisatie te bouwen?
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2024-06-20 11:26:56,015 [DEBUG] eveai_chat_workers: Retrieving relevant documents for query: Kan het bedrijf ae, gevestigd in Vlaanderen, België, mij helpen om applicaties voor mijn organisatie te bouwen?
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2024-06-20 11:27:00,349 [DEBUG] eveai_chat_workers: ask_question: result answer: Ja, het bedrijf ae, gevestigd in Vlaanderen, België, kan je helpen om applicaties voor je organisatie te bouwen. ae helpt bij het ontwerpen, ontwikkelen en beheren van robuuste digitale oplossingen die veilig, gebruiksvriendelijk, toekomstbestendig en binnen tijd en budget worden geleverd. Ze bieden end-to-end ondersteuning, van concept tot uitrol en zelfs met managed services daarna. Hun aanpak zorgt voor een betere klantervaring en een efficiënter softwareleveringsproces, wat resulteert in hogere inkomsten en lagere kosten.
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2024-06-20 11:27:00,352 [DEBUG] eveai_chat_workers: ask_question: result citations: [354, 355]
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2024-06-20 11:27:00,353 [DEBUG] eveai_chat_workers: ask_question: insufficient information: False
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2024-06-20 14:45:11,677 [DEBUG] eveai_chat_workers: Starting up eveai_chat_workers...
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2024-06-20 14:45:11,686 [DEBUG] eveai_chat_workers: CELERY_BROKER_URL: redis://localhost:6379/0
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2024-06-20 14:45:11,686 [DEBUG] eveai_chat_workers: CELERY_RESULT_BACKEND: redis://localhost:6379/0
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