GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
R2R is a state-of-the-art retrieval system that supports retrieval-augmented generation (RAG) and offers a RESTful API for integration, built in Python and deployable via Docker.
Good fit when
- When you need a production-ready AI retrieval system that supports retrieval-augmented generation (RAG) and can be integrated via RESTful API.
- If your project requires Python-based development and you prefer deployment through Docker for consistency and ease of setup.
Avoid when
- If your project does not require retrieval-augmented generation (RAG) capabilities, as R2R is specifically designed with this feature.
- If you are looking for a tool that does not require Docker for deployment, as R2R is optimized for Docker-based setups.
- Pricing:
- freemium - The core R2R system is free to use under the MIT License, but additional services or integrations may incur costs.
- Requirements:
- Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Python environment is necessary for installation and operation.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (315d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install R2R PyPIHow it fits your stack(9)
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Evidence and technical details
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Overview
SciPhi-AI/R2R is a state-of-the-art retrieval system that supports retrieval-augmented generation (RAG) and offers a RESTful API for integration. It is built in Python and can be deployed via Docker.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
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Compatibility
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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.
For agents
This page has a .md twin and JSON over the API.