RAGFlow: Advanced RAG Engine with Agent Capabilities
RAGFlow is a comprehensive open-source solution for building production-ready AI systems with Retrieval-Augmented Generation (RAG). It offers:
Key Features
- Deep document understanding and knowledge extraction from various data formats
- Template-based intelligent chunking system
- Grounded citations to reduce hallucinations
- Support for heterogeneous data sources (Word, slides, Excel, images, web pages)
- Automated RAG workflow orchestration
- Integration with latest LLM models (including GPT-5 and Gemini 3 Pro)
- Multi-modal model support for image processing
- Cross-language query capabilities
- Code execution environment with Python/JavaScript support
Technical Requirements
- CPU: 4+ cores
- RAM: 16+ GB
- Disk: 50+ GB
- Docker 24.0.0+ & Docker Compose v2.26.1+
- gVisor for code execution sandbox
Use Cases
- Enterprise-scale knowledge management
- Document processing and analysis
- Multi-modal content understanding
- Cross-language information retrieval
- Automated workflow orchestration
- Production-ready AI system development
