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Time: 30 min Level: Advanced Notebook: GitHub It’s no secret that even the most modern document retrieval systems have a hard time handling visually rich documents like PDFs, containing tables, images, and complex layouts.
ColPali introduces a multimodal retrieval approach that uses Vision Language Models (VLMs) instead of the traditional OCR and text-based extraction.
By processing document images directly, it creates multi-vector embeddings from both the visual and textual content, capturing the document’s structure and context more effectively.