ColPali Beats OCR Pipelines for Document RAG: 8× Storage Cost, 0% Chunking ColPali eliminates OCR and chunking for document-heavy RAG by encoding each 16×16 ima
A new system called ColPali has been developed to improve Retrieval-Augmented Generation (RAG) for documents. It bypasses the need for Optical Character Recognition (OCR) and text chunking by encoding image patches directly into vectors. While ColPali demonstrates superior performance on the ViDoRe benchmark compared to previous methods, it incurs significantly higher storage costs. AI
IMPACT This new RAG approach could streamline document processing and improve information retrieval accuracy in AI applications.