Nov 01 2024 3 mins 3
In this episode, we discuss ColPali: Efficient Document Retrieval with Vision Language Models by Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo. The paper discusses the limitations of modern document retrieval systems in effectively utilizing visual elements, prompting the introduction of the Visual Document Retrieval Benchmark (ViDoRe) to evaluate systems on tasks involving rich visual content. To address these challenges, a new model architecture, ColPali, is proposed, which utilizes Vision Language Models to generate high-quality, context-aware embeddings from document page images. ColPali employs a late interaction matching mechanism, achieving superior performance over existing systems and offering faster, trainable-from-scratch solutions, with all project materials available online.
