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RAG-ANYTHING
All-in-one multimodal RAG for mixed-content documents
MIT
ABOUT
Most RAG stacks are still text-centric and break down on real documents that combine prose, charts, tables, equations, and embedded images. RAG-Anything unifies multimodal parsing, representation, and retrieval in one framework so teams can build assistants and search systems over mixed-content knowledge bases without stitching together several incompatible tools.
INSTALL
pip install raganythingINTEGRATION GUIDE
1. Build assistants that answer questions over research papers containing text, figures, and equations
2. Create multimodal enterprise search across PDFs, office files, and image-heavy technical documentation
3. Retrieve insights from reports that include tables and charts instead of plain text alone
4. Power knowledge bases for scientific or engineering teams working with heterogeneous document collections
TAGS
ragmultimodal-ragretrievaldocumentspdfknowledge-graphpython