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+
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+
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