RAGFlow
Open-source RAG engine — deep document understanding
📋 Overview
RAGFlow is an open-source RAG engine that provides deep document understanding — parsing complex layouts, tables, and multi-column documents that other RAG tools miss. Unlike basic RAG pipelines (which just chunk text), RAGFlow uses vision-language models to understand document structure, extract tables, and preserve layout context.
✨ Key Features
- •55K+ GitHub stars — deep document understanding
- •Vision-language model parsing
- •Table extraction and preservation
- •Multi-column layout understanding
- •Built-in OCR
- •Apache 2.0 licensed
- •Built-in OCR
- •API compatibility
🎯 The Problem It Solves
Standard RAG pipelines fail on complex documents — tables get mangled, multi-column layouts lose context, and images are ignored. RAGFlow uses vision-language models to understand document structure deeply.
🔧 How It Works
RAGFlow parses documents using vision-language models to understand layout, extract tables, and preserve context. It chunks documents intelligently (preserving table structure), embeds them, and serves retrieval-augmented generation.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Best complex document parsing
- •Table extraction
- •Multi-column layout understanding
- •Apache 2.0 licensed
- •Built-in OCR
- •API compatibility
❌ Cons
- •Heavier than basic RAG
- •Requires GPU for VLM
- •Smaller community
- •Requires GPU
💬 Practitioner Verdict
“RAGFlow is the best open-source RAG engine for complex documents — the deep document understanding is genuinely differentiated. The trade-off: heavier than basic RAG pipelines, requires GPU for vision-language models, and the community is smaller than LangChain.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free Apache 2.0. No paid tier.