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Markit_v2 / src /rag
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  • 3 contributors
History: 9 commits
AnseMin's picture
AnseMin
Update embedding model to Google Generative AI and enhance vector store functionality
4dfec96 about 1 month ago
  • __init__.py
    521 Bytes
    Enhance RAG (Retrieval-Augmented Generation) functionality and dependencies about 2 months ago
  • chat_service.py
    22.5 kB
    Add advanced retrieval strategies and update dependencies for RAG implementation about 2 months ago
  • chunking.py
    25.5 kB
    Refactor document ingestion and chunking to support LaTeX content about 2 months ago
  • embeddings.py
    2.57 kB
    Update embedding model to Google Generative AI and enhance vector store functionality about 1 month ago
  • ingestion.py
    14.4 kB
    Refactor document ingestion and chunking to support LaTeX content about 2 months ago
  • memory.py
    9.73 kB
    Enhance RAG (Retrieval-Augmented Generation) functionality and dependencies about 2 months ago
  • vector_store.py
    16.9 kB
    Update embedding model to Google Generative AI and enhance vector store functionality about 1 month ago