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.
HKUDS
