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feat(llm): theme filter pushed into the vector store — theme_1..theme_N rank keys beside themes, $or equality filter; stamp threshold 0.60
/search?theme= used to filter in Python after the k-limited fetch, so a
narrow theme on a broad doctype came back empty. llm.themes now also
writes one scalar key per rank (theme_1, theme_2, …) and _store_filter
turns a theme into an $or of equalities over them, so the store's
overfetch is spent on on-theme chunks. Default min score raised to
0.60 (the knee the tagging sweep found); 24,555 manual chunks
re-stamped: top first themes enrollment-program-integrity 7,081,
evaluation-management 2,142, coverage-policy 2,064, telehealth 960.
2026-09-24 19:59:21 -04:00
..