QuivrHQ/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.
$ git clone https://github.com/QuivrHQ/quivr.git
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What is QuivrHQ/quivr?
Quivr is an open-source RAG (Retrieval-Augmented Generation) framework that simplifies integrating large language models into applications by handling vector storage, document processing, and LLM orchestration. Developers can use it to build AI-powered features with flexibility around which LLM provider (OpenAI, Groq, Llama, etc.), vector database (PGVector, Faiss), and file types they want to support, without building these components from scratch. It's designed as a self-contained backend service that can integrate into existing applications with minimal setup.
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32 open issues · last updated Jul 21, 2026