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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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api_reference | ||
docs_skeleton | ||
extras | ||
snippets | ||
.local_build.sh | ||
package-lock.json | ||
vercel_requirements.txt |