7503a441c2
kg: graph build, traversal queries, neo4j export - kg_ocr.graph builds a networkx graph (docs, chunks, entities, citations, co-occurrence) from chunk markdown - analyzer for summaries, top entities/citations, anomaly checks - traversal: chunks_for_entity/citation, related_entities, expand_context - export: JSON round-trip, GraphML, batched MERGE into neo4j - new CLI: ocr-pipeline kg build|stats|query|export - lazy kg_ocr imports, networkx/neo4j behind extras - dropped dead watch.py shim, added KgConfig stub - trimmed README, updated TODO
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2026-07-20 19:50:38 +02:00
39655fc35f
add doctor command, fix ISBN false positives, wire up CI
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ISBN regex now requires an explicit prefix, so it stops matching
years, URLs, job IDs, and dilution ratios.
doctor checks the environment end to end: Python, Tesseract,
PaddleOCR, the PyTorch backend, table/figure detectors, scispaCy,
config, DB, output.
CI runs on 2 OS x 3 Python versions plus a doctor smoke job.
Also added a changelog
2026-07-20 12:37:26 +02:00
