Open SourceRAG38k
RAGFlow
RAG engine built on deep document understanding with grounded cites.
RAGFlow is an open-source RAG engine built around deep document understanding, with a focus on parsing complex, heterogeneous documents (PDFs, tables, images, scans) into structured, citation-grounded chunks. It provides templated chunking, an end-to-end pipeline from ingestion to grounded question answering with traceable references, and a web UI for managing knowledge bases. It is notable for emphasizing layout-aware document parsing to reduce hallucination in answers.
Repository
infiniflow/ragflowLanguage
PythonWhat you'd build with it
- Building a RAG knowledge base over messy real-world documents like contracts, reports, and scanned PDFs
- Producing grounded answers with citations traceable back to the source document
- Standing up a document-QA system with a UI rather than coding the ingestion and chunking pipeline
Tags
ragdocumentscitations