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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@@ -63,10 +63,14 @@ scientific = [
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"spacy>=3.7.0; python_version >= '3.12'",
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]
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kg = [
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"networkx>=3.2",
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"txtai>=7.4.0",
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"litellm>=1.40.0",
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"python-dotenv>=1.0.0",
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]
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neo4j = [
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"neo4j>=5.0",
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]
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grobid = []
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full = [
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"ocr-pipeline[paddle,tables,figures,scientific]",
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