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R2R
Build citation-aware RAG systems with ingestion, retrieval, and agents
MIT
ABOUT
Building a production RAG stack usually requires separate tools for document ingestion, search, agents, APIs, and citation handling. R2R combines those pieces into one system so teams can turn messy internal documents into searchable knowledge bases with grounded answers, hybrid retrieval, and optional knowledge-graph enrichment.
INSTALL
pip install r2rINTEGRATION GUIDE
1. Build an internal knowledge assistant over company docs with source citations
2. Ingest PDFs, JSON, images, audio, and web data into one retrieval pipeline
3. Run hybrid semantic and keyword search across a private knowledge base
4. Power research agents that combine local knowledge with external web context
5. Self-host a REST API backend for enterprise RAG applications
TAGS
ragretrievalagentic-raghybrid-searchknowledge-graphmultimodal-ingestionself-hostedrest-api