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https://github.com/hwchase17/langchain
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db13fba7ea
Neo4j has added vector index integration just recently. To allow both ingestion and integrating it as vector RAG applications, I wrapped it as a vector store as the implementation is completely different from `GraphCypherQAChain`. Here, we are not generating any Cypher statements at query time, we are simply doing the vector similarity search using the new vector index as if we were dealing with a vector database. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> |
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callbacks | ||
chat | ||
chat_loaders | ||
document_loaders | ||
document_transformers | ||
llms | ||
memory | ||
providers | ||
retrievers | ||
text_embedding | ||
toolkits | ||
tools | ||
vectorstores |