R
R2R
SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
★8.0kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A artificial-intelligence/large-language-models tool in the Data & Infrastructure category, built with Python, open-source
Who made it?Maintained by SciPhi-AI team, 8K⭐ on GitHub, #249 out of 3133 in Data & Infrastructure
Why does it exist?The SciPhi-AI team recognized that existing artificial-intelligence tools in Data & Infrastructure were hard to use. R2R was designed to make large-language-models more accessible.
What can it do?Key use cases: question-answering, rag, retrieval-augmented-generation
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/SciPhi-AI/R2R
🔗 github.com/SciPhi-AI/R2R
Topics
artificial-intelligencelarge-language-modelspythonquestion-answeringragretrieval-augmented-generationretrieval-systemssearch