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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 | ||