ywkj 6bc4e1d3b4 feat: image-only pipeline with LLM post-filter for category accuracy ... - Drop video-understanding flow (detect-video, video-analyzer.ts) — image search is the only path now since text/video keywords return broad results. - Add container-aware frame selection: detect rack/holder products, restrict ranking to the earliest 40% of frames so empty/unboxing shots win over loaded ones (image search was matching shoes-on-rack instead of the rack). - Switch container check from generateObject (silently fails on this model) to generateText with a YES/NO answer. - Add post-filter step: send the snapshot + each result's pic_url to the vision model in batches, drop results whose category doesn't match the detected product description. Cuts 50 raw hits to ~10 same-type matches. - When post-filter succeeds, sort by sales directly instead of running the keyword-intersection rerank, which was overriding good filtered results with broad keyword fallbacks. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>		2026-04-26 15:01:42 +08:00
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run.ts	feat: image-only pipeline with LLM post-filter for category accuracy	2026-04-26 15:01:42 +08:00