RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source RAG engine based on deep document understanding. It streamlines the RAG workflow for businesses of all sizes.
Key Features of RAGFlow
- Deep Document Understanding: Knowledge extraction from unstructured data with complex formats.
- Template-based Chunking: Intelligent and explainable, with multiple template options.
- Grounded Citations: Visualization of text chunking, supports human intervention, quick view of key references.
- Compatibility with Heterogeneous Data Sources: Supports Word, Excel, TXT, images, scanned copies, web pages, etc.
- Automated RAG Workflow: Streamlined RAG orchestration, supports configurable LLMs and embedding models.
Summary
RAGFlow focuses on providing RAG solutions based on deep document understanding, simplifying the RAG workflow, and supporting multiple data sources.