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R2R

SciPhi-AI/R2R

SoTA production-ready AI retrieval system with RESTful API

GraphCanon updated 4d · GitHub synced 4d · 25 views this month

8.0k stars645 forksLast push 9mo Python MIT

Decision brief

R2R is a state-of-the-art AI retrieval system that's production-ready and can easily be integrated through its RESTful API, employing Agentic Retrieval-Augmented Generation (RAG).

Good fit when

  • When you require top-tier accuracy in an AI-based retrieval system with the ease of integration provided by a RESTful API.
  • For applications needing seamless integration into existing workflows via REST calls.

Avoid when

  • If the application does not benefit from or requires less sophisticated methods of data retrieval that do not include RAG.
  • When integrating with systems or in environments where network latency might impede performance due to its dependency on a RESTful API interface.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (283d since push)
As of 4d
Provenance
Not a fork · Organization account
As of 4d
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install R2R
PyPI

How it fits your stack(9)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Related

Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

SciPhi-AI/R2R is a state-of-the-art, production-ready AI retrieval system employing Agentic Retrieval-Augmented Generation (RAG) and offering a RESTful API for easy integration.

Capability facts

Languages
python

Source: github.language · Aug 17, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 17, 2026)

python -m r2r.serve
Source link

Tags

README

Quick install and run in light mode

pip install r2r export OPENAI_API_KEY=sk-... python -m r2r.serve


docker compose -f compose.full.yaml --profile postgres up -d


For detailed self-hosting instructions, see the [self-hosting docs](https://r2r-docs.sciphi.ai/self-hosting/installation/overview).

For agents

This page has a .md twin and JSON over the API.

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