RAG-Anything

RAG-Anything is an all-in-one multimodal document processing framework that integrates text, images, tables, and equations into RAG systems.

RAG-Anything is an all-in-one multimodal document processing RAG system built on LightRAG. It addresses the challenge of modern documents containing diverse multimodal content like text, images, tables, equations, charts, and multimedia that traditional text-focused RAG systems cannot process. The system eliminates the need for multiple specialized tools by providing a unified workflow from document ingestion and parsing to intelligent multimodal query answering. It features universal document support for formats like PDFs, Office documents, and images, along with specialized processors for mathematical expressions and visual content. Built for academic research, technical documentation, and enterprise knowledge management, it uses a multimodal knowledge graph and hybrid retrieval to deliver comprehensive insights.

RAG-Anything at a glance

Best for: Software engineer, Researcher
Runs on: open source
Pricing: Free
Released: June 2025
Category: AI research tool
Website: github.com/HKUDS/RAG-Anything

Key features

End-to-End Multimodal Pipeline
Universal Document Support
Specialized Content Analysis
Multimodal Knowledge Graph
Adaptive Processing Modes
Direct Content List Insertion
Hybrid Intelligent Retrieval

Use it for

Academic research document processing
Technical documentation analysis
Financial report evaluation
Enterprise knowledge management

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