Hybrid Search Method Ranks Scanned PDFs While Flagging OCR Uncertainties

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A developer outlines a hybrid retrieval system for scanned PDFs that combines lexical and semantic search. The approach aims to find relevant passages while explicitly accounting for potential OCR errors like misread numbers or garbled text. The system ranks results using region-specific evidence, such as extraction confidence scores and page metadata, rather than document-wide averages. This method preserves the provenance of uncertain text, allowing users to assess its reliability. The article was drafted with AI assistance and fact-checked by the developer behind the DocBento tool.

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