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Use Cases

Store And Search Document Chunks In Postgresql/pgvector

Published projects tagged with this use case.

1 project

rag_api

★ 904

FastAPI service that indexes documents with LangChain and stores embeddings in PostgreSQL/pgvector, exposing ID-based add/query/delete RAG endpoints. Built for LibreChat integration, with JWT-based per-user and entity ownership scoping on every read and delete.

RAG | Python · fastapi · pgvector

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