Implement OCR support and benchmark evaluation for PDF extraction #190
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- Added OCR fallback functionality in `document_rag.py` to enhance PDF text extraction using MinerU. - Introduced command-line arguments for OCR processing options, including auto-detection of scanned PDFs. - Created a new benchmark module for evaluating OCR accuracy using the olmOCR-Bench dataset, including metrics for Character Error Rate (CER) and Word Error Rate (WER). - Added setup script for downloading the olmOCR-Bench dataset and included README documentation for usage instructions. This update significantly improves the document processing capabilities by integrating OCR support and providing a framework for evaluating its effectiveness.
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document_rag.pyto enhance PDF text extraction using MinerU.This update significantly improves the document processing capabilities by integrating OCR support and providing a framework for evaluating its effectiveness.
Related Issues
[feat] OCR based application #158
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uv run pytest)ruff formatandruff check)pre-commit run --all-files)