Research: PDF ingestion, OCR, and high-precision retrieval for large-scale document analysis #1

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granat merged 1 commit from research/2026-08-12-pdf-ingestion-ocr-retrieval into main 2026-08-12 22:33:45 +02:00
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Dated research report (2026-08-12) for issue GRA-3: comparison of PDF parsing/OCR solutions (Docling, MinerU, Marker 2, olmOCR) and precision retrieval approaches (PageIndex, ColPali/ColQwen, RAGFlow) for massive technical/legal PDF corpora.

Recommendation — primary: custom Python pipeline: Docling (+ selective VLM OCR for scanned pages) → PageIndex-style tree retrieval, with a lexical/vector pre-filter at corpus scale.
Fallback: self-hosted RAGFlow with Docling/MinerU parsers.

Report file: docs/research/2026-08-12-pdf-ingestion-ocr-high-precision-retrieval.md — includes executive summary, comparison table, per-candidate analysis, freshness check, data gaps, and full source list.

Dated research report (2026-08-12) for issue GRA-3: comparison of PDF parsing/OCR solutions (Docling, MinerU, Marker 2, olmOCR) and precision retrieval approaches (PageIndex, ColPali/ColQwen, RAGFlow) for massive technical/legal PDF corpora. **Recommendation — primary**: custom Python pipeline: Docling (+ selective VLM OCR for scanned pages) → PageIndex-style tree retrieval, with a lexical/vector pre-filter at corpus scale. **Fallback**: self-hosted RAGFlow with Docling/MinerU parsers. Report file: `docs/research/2026-08-12-pdf-ingestion-ocr-high-precision-retrieval.md` — includes executive summary, comparison table, per-candidate analysis, freshness check, data gaps, and full source list.
granat merged commit e36ea92736 into main 2026-08-12 22:33:45 +02:00
granat deleted branch research/2026-08-12-pdf-ingestion-ocr-retrieval 2026-08-12 22:33:45 +02:00
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