- Implementation of specialist execution api, including SSE protocol
- eveai_chat becomes deprecated and should be replaced with SSE - Adaptation of STANDARD_RAG specialist - Base class definition allowing to realise specialists with crewai framework - Implementation of SPIN_SPECIALIST - Implementation of test app for testing specialists (test_specialist_client). Also serves as an example for future SSE-based client - Improvements to startup scripts to better handle and scale multiple connections - Small improvements to the interaction forms and views - Caching implementation improved and augmented with additional caches
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config/retrievers/STANDARD_RAG/1.0.0.yaml
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config/retrievers/STANDARD_RAG/1.0.0.yaml
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version: "1.0.0"
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name: "Standard RAG Retriever"
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configuration:
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es_k:
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name: "es_k"
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type: "int"
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description: "K-value to retrieve embeddings (max embeddings retrieved)"
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required: true
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default: 8
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es_similarity_threshold:
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name: "es_similarity_threshold"
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type: "float"
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description: "Similarity threshold for retrieving embeddings"
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required: true
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default: 0.3
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arguments:
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query:
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name: "query"
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type: "str"
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description: "Query to retrieve embeddings"
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required: True
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metadata:
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author: "Josako"
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date_added: "2025-01-24"
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changes: "Initial version"
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description: "Retrieving all embeddings conform the query"
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