# R2R

by Community

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

## Overview

R2R is an open-source Python framework for building retrieval-augmented generation (RAG) pipelines. It provides a RESTful API for agentic retrieval and generation, designed for production use with state-of-the-art components.

## Best for

Python developers building production RAG systems with agentic retrieval

## Use cases

- Deploying a scalable RAG pipeline with a REST API
- Building agentic retrieval systems that combine search and generation
- Prototyping and productionizing retrieval workflows in Python

## Notes

7,869 stars on GitHub. Last updated 2025-11-07. Licensed MIT.

## Pros

- Production-ready with a RESTful API for easy integration
- Active community with nearly 8,000 GitHub stars
- Built on modern Python, leveraging state-of-the-art retrieval techniques

## Cons

- Requires Python expertise to customize and deploy
- Documentation may lag behind rapid development
- Limited to RAG use cases, not a general-purpose orchestration tool.

## Pairs with

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