CANOPY Framework for Adaptive-Granularity Multimodal RAG Compression
September 30, 2026
CANOPY uses a hierarchical node encoder to compress retrieved multimodal evidence. By scoring regions against queries, it adaptively selects optimal context windows across text, tables, images, and videos to balance detail retention with noise reduction.
HOW THIS AFFECTS YOU
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builderYou can improve RAG efficiency by dynamically adjusting context windows for heterogeneous data types.
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researcherThis method introduces a shared procedure for adaptive compression across different modalities.