RAGFlow Review 2026

Open-source RAG engine with deep document understanding, chunk visualization, and citation tracking for enterprise knowledge bases.

RAGFlow is an open-source Retrieval-Augmented Generation engine designed for enterprise-grade document understanding and question answering. What sets RAGFlow apart from simpler RAG solutions is its focus on deep document parsing — it doesn't just split text into chunks, it understands document structure including tables, figures, headers, and hierarchical layouts.

The platform provides a visual chunking interface where users can see exactly how documents were parsed and manually adjust chunk boundaries when needed. This transparency is rare in RAG tooling and critical for enterprise deployments where accuracy matters more than speed. Every answer includes citations linking back to specific source chunks, enabling verification and building user trust.