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Bridging the Modality Gap: Enhancing Document Retrieval with Multimodal Embeddings
In an era where documents seamlessly blend rich textual and visual content, traditional retrieval systems often fall short. This post explores how Multimodal Embeddings bridge the modality gap, introducing advanced models such as VISTA and ColPali, along with innovative evaluation methods, enhanced model interpretability, and an analysis of their performance.
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