VisionRAG is an implementation of MULTI-MODALITY-RAG which uses the new novel approach ColPali: Efficient Document Retrieval with Vision Language Models

• Direct embedding of document screenshots
• No need for OCR or complex preprocessing
• Handles multi-modal content (text, images, charts, tables)
• Streamlined retrieval and ranking process
• Built on ColPali 2's efficient embedding technique

This project aims to demonstrate how visual-based embedding can simplify and enhance RAG systems, making them more versatile and easier to implement for a wide range of document types.