RAG-Anything: open-source multimodal RAG framework, the Coeurdar verd…
All-in-one RAG framework built on LightRAG that ingests rich documents (text, images, tables, equations, scanned PDFs) without you stitching together five specialized tools. One interface to turn a heterogeneous corpus into a queryable base.
Strengths
- Handles text, images, tables, equations and scanned PDFs in one pipeline
- Built on LightRAG, with a published technical report and a lab behind it
- MIT and very active: 22.5k stars, regular releases in 2026
Limitations
- A framework to configure: budget a real integration phase, not an instant plug-in
- Multimodal has a compute cost: size it before aiming at a large corpus
Best for
- Teams indexing rich documents: papers, technical docs, reports
- Projects where the visual content of documents carries part of the answer
- Builders ready to invest in a framework rather than a managed service