The AI Automators explains research on Pixel RAG, which renders pages as image tiles, retrieves them with visual embeddings and passes the results to a vision-language model. A demonstration contrasts screenshot-based retrieval with text extraction for visual page content.
The presenter discusses the researchers’ reported benchmark and token results, while cautioning that comparisons depend on the baseline. The video also considers ingestion costs, image storage, model-size limitations and hybrid retrieval strategies.
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