LibreChat-AI / rag-api
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Why this job: says: rag; topics: rag, vector-database, embeddings
What it does
- Document Management. Methods for adding, retrieving, and deleting documents.
- Vector Store. Utilizes Langchain's vector store for efficient document retrieval.
- Asynchronous Support. Offers async operations for enhanced performance.
Get started
docker compose build --no-cache- Maintenance
- Active
- Last commit 46 days ago
- Stars
- 921
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.0
- Released 3 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 76% closed
- 28 still open
- Pull requests
- 105 merged
- 29 waiting
- Releases
- 12
- 6 in the last year
- No contributing guide
- No security policy
- No code of conduct
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| langchain4j / langchain4j | 13,372 | 3 days ago | Apache-2.0 | No downloads |
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More: languages, topics and project record
Languages
- Python 99%
- Dockerfile <1%
- Shell <1%
Topics
- api
- api-rest
- embeddings
- fastapi
- langchain
- pgvector
- postgresql
- psql
- python
- rag
- vector
- vector-database
Project record
- JobRAG and search
- StatusListed
- Commits132
- Forks415
- Watching7
- Stars in 28 days+15
- CreatedMar 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026