- Allowing for multiple types of Catalogs
- Introduction of retrievers - Ensuring processing information is collected from Catalog iso Tenant - Introduction of a generic Form class to enable dynamic fields based on a configuration - Realisation of Retriever functionality to support dynamic fields
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@@ -22,7 +22,7 @@ from common.models.interaction import ChatSession, Interaction, InteractionEmbed
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from common.extensions import db
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from common.utils.celery_utils import current_celery
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from common.utils.model_utils import select_model_variables, create_language_template, replace_variable_in_template
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from common.langchain.eveai_retriever import EveAIRetriever
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from common.langchain.eveai_default_rag_retriever import EveAIDefaultRagRetriever
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from common.langchain.eveai_history_retriever import EveAIHistoryRetriever
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from common.utils.business_event import BusinessEvent
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from common.utils.business_event_context import current_event
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@@ -139,7 +139,7 @@ def answer_using_tenant_rag(question, language, tenant, chat_session):
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new_interaction.detailed_question_at = dt.now(tz.utc)
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with current_event.create_span("Generate Answer using RAG"):
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retriever = EveAIRetriever(model_variables, tenant_info)
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retriever = EveAIDefaultRagRetriever(model_variables, tenant_info)
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llm = model_variables['llm']
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template = model_variables['rag_template']
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language_template = create_language_template(template, language)
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@@ -243,7 +243,7 @@ def answer_using_llm(question, language, tenant, chat_session):
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new_interaction.detailed_question_at = dt.now(tz.utc)
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with current_event.create_span("Detail Answer using LLM"):
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retriever = EveAIRetriever(model_variables, tenant_info)
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retriever = EveAIDefaultRagRetriever(model_variables, tenant_info)
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llm = model_variables['llm_no_rag']
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template = model_variables['encyclopedia_template']
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language_template = create_language_template(template, language)
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