RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
| Field | ||||
|---|---|---|---|---|
| Category | RAG / Knowledge Base | RAG / Knowledge Base | RAG / Knowledge Base | RAG / Knowledge Base |
| Stars | ★ 93.0k | ★ 23.1k | ★ 30.3k | ★ 724 |
| License | Apache-2.0 | GPL-3.0 | Apache-2.0 | MIT |
| Updated | 1d ago | 1d ago | 2w ago | 1w ago |
| Open Source | Yes | Yes | Yes | Yes |
RAGFlow (Apache-2.0) specialises in deep document parsing (layout analysis, OCR, table extraction) and visual chunk editing. MaxKB (GPL-3.0) focuses on quick single-container Docker deployment, enterprise Q&A embedding, and domestic Chinese model integration.
RAGFlow is a document knowledge-base engine with layout-aware ingestion and cited Q&A; GPT Researcher is an autonomous multi-agent researcher that queries web search and local files to write long cited reports.