Combine text and images for advanced content analysis and insights using a unified framework.
From the README
pip install -e ".[paddleocr]" # or uv sync --extra paddleocr
- 🔄 End-to-End Multimodal Pipeline - Complete workflow from document ingestion and parsing to intelligent multimodal query answering
- 📄 Universal Document Support - Seamless processing of PDFs, Office documents, images, and diverse file formats
- 🧠 Specialized Content Analysis - Dedicated processors for images, tables, mathematical equations, and heterogeneous content types
- 🔗 Multimodal Knowledge Graph - Automatic entity extraction and cross-modal relationship discovery for enhanced understanding
- ⚡ Adaptive Processing Modes - Flexible MinerU-based parsing or direct multimodal content injection workflows
- 📋 Direct Content List Insertion - Bypass document parsing by directly inserting pre-parsed content lists from external sources
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytime"RAG-Anything: All-in-One RAG Framework"
RAG-Anything has 22.3k stars on GitHub. It has been forked 2.6k times. RAG-Anything is written mainly in Python. It has been in active development since 2025. RAG-Anything is available under the MIT license. Its main topics are multi-modal-rag, retrieval-augmented-generation.
What is RAG-Anything?
"RAG-Anything: All-in-One RAG Framework"
Is RAG-Anything open source?
RAG-Anything is an open-source project. It is released under the MIT license.
Is RAG-Anything free?
Yes. RAG-Anything is free and open source — you can use, modify and self-host it.
What license does RAG-Anything use?
RAG-Anything is available under the MIT license.
What language is RAG-Anything written in?
RAG-Anything is written mainly in Python.
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