@GYLQ520: PixelRAG is an open-source project from UC Berkeley SkyLab and other teams, ready to play. Its approach is straightforward, no longer relying on HTML or text parsing. Instead, it directly captures web pages and PDFs as screenshots and uses visual indexing for RAG retrieval. Everything that HTML parsing loses, such as tables, charts, and layouts, is preserved…
Summary
PixelRAG is an open-source project from UC Berkeley SkyLab and other teams. By capturing web pages and PDFs as screenshots and using visual indexing for retrieval, it improves RAG accuracy and significantly reduces token costs for AI Agents.
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Official codebase for PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation
Yichuan Wang*, Zhifei Li*, Zirui Wang, Paul Teiletche, Lesheng Jin Matei Zaharia†, Joseph E. Gonzalez†, Sewon Min†
- Equal contribution † Equal advisingWork done at Berkeley SkyLab & BAIR & Berkeley NLP
Search any document by how it looks, not just the text it contains.
What it is · Give Claude eyes · How it works · Pipelines
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