SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
- Stars
- 8.0k
- Forks
- 651
- Open issues
- 115
- Last push
- 11mo ago
About R2R
R2R is a free, open-source RAG and AI search tool by SciPhi-AI, written mainly in Python. SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. It has 8.0k GitHub stars and 651 forks, and was last updated 11mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 8,045
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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R2R FAQ
Is R2R free?
Yes. R2R is open source and free to use. It's released under the MIT license, a standard open-source license.
Does R2R run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does R2R need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is R2R still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to R2R?
Similar free, open-source tools include ragflow, meilisearch, LightRAG, storm.