David-Lolly/ViewRAG

图文并茂的 PDF RAG 系统:支持版式感知分块、图表深度理解与精准视觉溯源。 Multimodal PDF RAG: Features layout-aware chunking, visual chart understanding, and precise inline image citations.

42
/ 100
Emerging

This tool helps professionals working with PDFs to quickly get answers to their questions, even when the information is in images or tables. You input PDF documents and ask questions in natural language, and it provides accurate answers with inline images and precise citations to the original document pages. Anyone who regularly needs to extract information from complex PDFs, like researchers, analysts, or legal professionals, would find this valuable.

Use this if you need to understand and extract detailed information from PDFs, including content locked in images and tables, and require traceable, trustworthy answers.

Not ideal if your workflow involves only plain text documents or if you primarily need to summarize very short, simple texts without complex layouts.

document-analysis research-assist knowledge-retrieval pdf-interrogation information-extraction
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 15 / 25

How are scores calculated?

Stars

21

Forks

4

Language

Python

License

MIT

Last pushed

Feb 27, 2026

Commits (30d)

0

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