ColPali is an efficient document retrieval tool based on visual language models, simplifying the retrieval process by directly embedding images of document pages. Leveraging the latest visual language model technology, particularly the PaliGemma model, ColPali improves retrieval performance through late interaction mechanisms for multi-vector retrieval. This technology not only accelerates indexing speed and reduces query latency, but also excels in retrieving documents containing visual elements such as charts, tables, and images. ColPali introduces a new paradigm of 'visual space retrieval' in the field of document retrieval, enhancing the efficiency and accuracy of information retrieval.