# RAG-Anything: handling charts in multimodal documents

Canonical source : [RAG-Anything: handling charts in multimodal documents](<https://sebastien.rigaux.be/en/tech-watch/links/rag-anything-handling-charts-in-multimodal-documents>)

RAG-Anything is a framework built on LightRAG for indexing and querying documents that mix text, images, tables, equations, and charts. It coordinates parsing and content analysis in a single multimodal pipeline.

The project combines vector similarity with a knowledge graph, provides processors for different content types, and can pass retrieved images to a vision model during queries. A recent change also routes rendered charts through the image pipeline while preserving captions and extracted text. To update a previously indexed document, multimodal reprocessing must be explicitly enabled with `force_multimodal_reprocess=True`.

- Selected on : 2026-10-29

- Entry updated : 2026-11-07T20:32:37+0000

- Format : Article

- Source language : EN

- Credit : HKUDS

Original resource : [RAG-Anything: handling charts in multimodal documents](<https://github.com/HKUDS/RAG-Anything>)

Tags : [RAG](<https://sebastien.rigaux.be/en/tech-watch/tags/rag>) · Vector search · [Knowledge graphs](<https://sebastien.rigaux.be/en/tech-watch/tags/knowledge-graphs>) · [Document management](<https://sebastien.rigaux.be/en/tech-watch/tags/document-management>)

Available versions : [Français](<https://sebastien.rigaux.be/veille/liens/rag-anything-traiter-graphiques-et-documents-multimodaux>) · [English](<https://sebastien.rigaux.be/en/tech-watch/links/rag-anything-handling-charts-in-multimodal-documents>)

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