A Retrieval-Augmented Generation (RAG) framework that replaces proprietary AI knowledge base tools like ChatPDF. It enables the integration of LLMs with local files and vector stores using a modular, API-first architecture.
Tech Stack
PythonAI, ML & Data
Why quivr?
• Vectorstore agnostic
• Multi-LLM support
• Fast RAG implementation
Limitations
• Rapidly changing API
• Complex environment setup
• High token costs
3/6/2026
Last Update
3,718
Forks
22
Issues
Other
License
Financial Leak Detected
Stop the "SaaS Tax"
Your team could be burning cash. Switching to quivr instantly boosts your runway.
