Open SourceRAG7k
R2R
Agentic RAG with a REST API: multimodal ingestion and GraphRAG.
R2R (Reason to Retrieve) is an open-source, production-oriented RAG system exposed through a RESTful API. It combines multimodal document ingestion, hybrid semantic and keyword search, automatic knowledge-graph extraction, and user-level access controls, plus an agentic Deep Research API for multi-step reasoning queries. It is notable for packaging retrieval, graph construction, and document/permission management behind a deployable API.
Repository
SciPhi-AI/R2RLanguage
PythonWhat you'd build with it
- Deploying a RAG backend with authentication and per-user document access controls behind a single API
- Combining vector, keyword, and knowledge-graph retrieval for context-aware question answering
- Running multi-step agentic research queries over an ingested document corpus
Tags
raggraphragapi