GH Repository · The-Vibe-Company
quivr
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
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Quivr is a RAG framework for adding retrieval-augmented generation to your applications. It lets you plug in your choice of LLM (GPT-4, Groq, Llama) and vector store (PGVector, Faiss) and ingest arbitrary files.
Reach for it when you want RAG capabilities in your product without building and maintaining the retrieval pipeline yourself.
Use it to
- Add document Q&A to an existing app
- Swap LLM and vector store providers behind one API
- Ingest and query your own file collections
- Self-host a RAG backend with Docker and Postgres
For Developers integrating GenAI features into products
- Role
- rag
- Language
- Python
- Licence
- custom (licence file present)
- Forks
- 3,733
- Open issues
- 11
- Last push
- 2026-08-31
- Latest release
- v0.0.1 · 2023-05-22
topicsragllmvectorchatbotapiframework