RAGFlow
An open-source RAG engine built around deep document understanding, template-based chunking, and grounded, citation-backed answers.
Strengths
- Strong parsing of complex documents (Word, Excel, PDF, scans, images)
- Explainable, template-based chunking with traceable citations
- Configurable LLMs, embeddings, and reranking
Weaknesses
- Heavy resource needs and many service dependencies
- Docker images are x86-only, so ARM64 needs a manual build
- Requires understanding of RAG concepts to configure well
At a glance
- Licence
- Apache-2.0
- Pricing
- Open core
- Platforms
- Linux, Docker
- GPU required
- No
Links
Works with
Related guides
See also
Glossary
Entry last verified 18 August 2026.