CANOPY, a method for adaptive-granularity evidence compression in multimodal RAG, is presented as a solution to the problem that retrieval granularity does not determine how much context to retain within each retrieved item. The approach addresses coarse units that include irrelevant content and uniformly fine selection that can remove context needed to interpret evidence, according to the paper's description.
Multimodal RAG retrieves text, tables, images, and videos, but choosing a retrieval granularity does not determine how much context to retain within each item. Coarse units include irrelevant content, while uniformly fine selection can remove context needed to interpret the evidence. Existing compre
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