SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. R2R is an advanced AI retrieval system supporting Retrieval-Augmented Generation (RAG) with production-ready features. Built around a RESTful API, R2R offers multimodal content ingestion, hybrid search, knowledge graphs, and comprehensive document management. R2R also includes a…
Read the full README ↗ · Preview checked 2026-10-28T12:22:57.306Z
Inside the original README — Document outline
- About
- Usage
- Getting Started
- Demo
- Using the API
- 1. Install SDK & Setup
- 2. Client Initialization
- 3. Document Operations
- Key Features
- Community & Contributing
- Our Contributors
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Repository facts
- Owner
- SciPhi-AI
- Primary language
- Python
- Stars
- 8,054
- Forks
- 650
- Open issues + pull requests
- 132
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2024-02-12T03:24:27.000Z
- Last push
- 2025-11-07T01:02:44.000Z
Topics and intended use
Owner-supplied topics: artificial-intelligence, large-language-models, python, question-answering, rag, retrieval-augmented-generation, retrieval-systems, search
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
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