# R2R

> Open-source agentic Retrieval-Augmented Generation (RAG) system with a RESTful API.

R2R is an open-source retrieval system from SciPhi-AI that combines agentic Retrieval-Augmented Generation (RAG) with a RESTful API. The repository describes it as a production-ready AI retrieval system, written in Python and released under the MIT License. The latest release listed is v3.6.5, published on 2025-06-06.

## What It Is

R2R is a retrieval-augmented generation system for building question-answering and search applications on top of large language models. It exposes its functionality through a RESTful API, so applications can call retrieval and generation features over HTTP. The project's GitHub topics reference question answering, retrieval systems, and search.

## Open-Source Availability

The source code is public on GitHub under the MIT License. The repository README points to a Python package readme, so detailed setup and usage steps are not included in the supplied material.

## Features
- Agentic Retrieval-Augmented Generation (RAG)
- RESTful API
- Question answering
- Retrieval and search system
- MIT-licensed open source

## Platforms
API, DEVELOPER_SDK

## Pricing
Open Source

## Version
v3.6.5

## Links
- Website: https://github.com/SciPhi-AI/R2R
- Repository: https://github.com/SciPhi-AI/R2R
- EveryDev.ai: https://www.everydev.ai/tools/r2r