A per-document case_report grounded itself via hybridSearch keyed on the
document's auto-derived topic ("Fbi Photo B20", "Doc 59 214434 …"). That
garbage topic has no semantic neighbours, so the dense gate rejected every
chunk and the narrator saw zero scenes — skipping 61 of 75 batch documents
that in fact had dozens of embedded chunks.
When doc_id is set, fetch the document's own substantive chunks in reading
order (fetchDocChunks) instead of searching the corpus. Corpus-wide topic
reports still use hybridSearch.
Verified post-deploy: fbi-photo-b19 0→10 scenes, doc-65 →24, dow-uap-d44 →11.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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