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AI Agent Frameworks

R2R

🇨🇳 中文 / 🇬🇧 English — 双语介绍
🇨🇳 中文

R2R 是开源的 RAG 引擎,把一批文档变成一个可查询的服务:内置混合检索(向量加关键词)、知识图谱构建与 agentic 检索,提供 REST 与 Python 接口,Docker 起一套即可对接自己的数据。相比自己拼向量库加提示词,它把切分、索引、检索与生成的链路封在服务里。 🔗 GitHub: https://github.com/SciPhi-AI/R2R | GitHub Stars: 8k+

🇬🇧 English

R2R is an open-source RAG engine that turns a document set into a queryable service: hybrid retrieval over vectors and keywords, knowledge graph construction and agentic retrieval behind REST and Python APIs, bootable with Docker against your own data. Instead of wiring a vector store to prompts by hand, chunking, indexing, retrieval and generation live inside the service. 🔗 GitHub: https://github.com/SciPhi-AI/R2R | GitHub Stars: 8k+

📋 Product Info

Category: AI Agent Frameworks
Listed on: 2026-10-22
Official site: https://r2r.io
Open source: GitHub repository ↗
Tags: RAG,检索引擎,知识图谱,开源

🎯 Why This Tool

R2R belongs to the AI Agent Frameworks category on hedirbase. Tagged with: RAG,检索引擎,知识图谱,开源.

R2R is an open-source RAG engine that turns a document set into a queryable service: hybrid retrieval over vectors and keywords, knowledge graph construction and agentic retrieval behind REST and Pyth

✓ Manually reviewed 📁 Open source 🌐 Curated for independents
🌎 访问 R2R → 📦 GitHub