PixelRAG beats text parsers, cuts AI token costs 10x

PixelRAG, a system from UC Berkeley, Princeton, EPFL and Databricks, skips text parsing by rendering pages as screenshots and indexing images directly. The approach beats text parsers on accuracy and cuts AI agent token costs by 10x, eliminating the conversion step that causes most wrong answers.