PixelRAG

PixelRAG is an AI/ML project that replaces traditional web parsing with a scalable, pixel-native search system, directly indexing and retrieving information from rendered visual content rather than text. It is designed for developers and researchers building retrieval-augmented generation (RAG) applications that need to handle complex layouts, images, or non-textual data at scale. This approach is interesting because it bypasses the fragility and lossiness of text extraction, enabling robust search across any visually rendered interface.