Text RAG has been lying to every AI agent.
PixelRAG just proved it with 30 million screenshots.
I dug into the new wave of visual RAG papers and repos this week,,
The pattern is brutal and clear :
- Traditional text extraction destroys the exact things agents need most ( tables, charts, layouts, dynamic JS content).
- PixelRAG skips parsing entirely. It turns web pages, PDFs, and docs into screenshots and retrieves straight from the pixels.
They are the same team behind the viral 30M+ Wikipedia screenshot dataset.
Result on real QA benchmarks: +18.1% over text RAG.
Here :
--> OpenBMB’s VisRAG and EVisRAG-7B already ship parsing-free vision retrieval.
--> RAG-Anything pushes full multimodal (text + images + tables + equations) on top of LightRAG.
--> The “Awesome RAG in Computer Vision” list is filling up fast with exactly these approaches.
Everyone is racing to the ship of agentic systems that act,,
But pixelRag is leading the way that makes Agent to watch the world into their eye..
In next, All things have to be visible to Agent first, then to user....
@akibur_asif@moovexyz The combination of cross-chain accessibility, non-custodial security, and privacy-first infrastructure makes moove stand out in the evolving Web3 ecosystem.