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    RAGFlow

    Open-source RAG engine based on deep document understanding with citation-backed responses. RAGFlow extracts tables, images, and structured data from complex documents, providing truthful question-answering with well-founded citations.

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    About this tool

    Overview

    RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG capabilities with Agent functionality. It offers a streamlined RAG workflow for deep document understanding and citation-backed responses.

    Key Features

    • Deep Document Understanding: Advanced parsing of complex document formats
    • Multi-Format Support: Processes PDFs, Word docs, CSVs, Excel, PowerPoint, and more
    • Table & Image Extraction: Intelligently extracts structured data and visual elements
    • Citation-Backed Responses: Every answer includes references to source documents
    • Advanced Chunking: Employs sophisticated chunking strategies for optimal retrieval
    • Knowledge Base Management: Organizes parsed data for efficient search and retrieval
    • Fused Re-ranking: Combines multiple recall strategies with re-ranking for accuracy
    • Agent Capabilities: Integrates agentic workflows with RAG pipelines

    How It Works

    1. Document Processing

    • Parse uploaded files using structure recognition models
    • Extract tables, images, and metadata
    • Break documents into optimally-sized chunks

    2. Knowledge Base Creation

    • Convert chunks into vector embeddings
    • Store in knowledge base with advanced indexing
    • Maintain document structure and citations

    3. Query Processing

    • Receive user query and convert to embeddings
    • Search knowledge base using hybrid retrieval
    • Apply fused re-ranking to prioritize results
    • Generate response with LLM and citations

    Applications

    • Customer Support: Citation-backed chatbots with accurate responses
    • Research & Education: Academic research assistants with source attribution
    • Financial Analysis: Document-grounded financial insights
    • Healthcare: Medical decision support with evidence-based answers
    • Legal Tech: Contract analysis with precise citations
    • Enterprise Search: Internal knowledge bases with traceable answers

    Integration

    RAGFlow integrates with:

    • Major LLM providers (OpenAI, Anthropic, etc.)
    • Popular vector databases
    • Document management systems
    • Custom embedding models

    Pricing

    Free and open-source with self-hosting options.

    Surveys

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    Information

    Websiteragflow.io
    PublishedMar 11, 2026

    Categories

    1 Item
    Llm Frameworks

    Tags

    3 Items
    #Open Source#Rag#Document Understanding

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