RAG-Anything Read Its OWN Paper… and the Results Are WILD

I gave RAG-Anything (HKU's all-in-one multimodal RAG) its own research paper and asked it about the tables, figures and equations, then checked every answer against the real page. I also asked it two trick questions. Result in this run: 6 of 7 correct, including both trick questions. It declined one question whose answer was only in a chart. What's in the video: - How it works: MinerU parsing into "atomic units" → a cross-modal graph + a text graph merged by entity name → hybrid graph + vector retrieval → a vision-language model answers with the original image - What the paper claims (DocBench