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RAGOCR

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2026-08-09 / skill-finderRender retrieved documents as images instead of text: RAGOCR beats naive RAG by 15% on one-eighth the input tokensRAGOCR compresses retrieved documents into compact visual representations conditioned on the input query, sidestepping the standard trade-off where hard compression is query-aware but weak and soft compression is strong but needs costly offline encoding. It exceeds naive RAG accuracy by over 15% while cutting input tokens to one-eighth, and consistently beats both hard and soft compression baselines across varying retrieval depths. The transferable mechanism is a query-aware dynamic resolution pass that renders highly relevant passages at higher visual granularity while aggressively downsampling peripheral documents — a relevance-proportional budget allocation any RAG pipeline can adopt even without the visual encoder.

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COMPETES WITH
RAG
RAGOCR exceeds naive RAG accuracy by over 15% while cutting input tokens to one-eighth.
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arXiv 2608.00765

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