PixelRAG makes the case that web RAG should read pixels, not parsed text

Yichuan Wang (@YichuanM), a UC Berkeley doctoral student, and collaborators from UC Berkeley, Princeton, EPFL and Databricks published PixelRAG this week, a research system that attacks one of enterprise AI's least glamorous bottlenecks: the parser sitting between the web page and the model. The claim, as VentureBeat reported Friday, is direct. Most retrieval augmented generation systems flatten web pages into text before chunking and indexing them. PixelRAG skips that conversion. It renders ...