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