cofacts / rumors-api
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coverage: 84.349% (+0.3%) from 84.049%
37561930306

Pull #388

github

yutin1987 
refactor(ListArticles): remove unused filter.mediaDuration

It was left over from the design that embedded media in duration-based
segments. Embedding now only covers the first 80 seconds, and the resolver
never read the field.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Pull Request #388: vector search

1029 of 1294 branches covered (79.52%)

Branch coverage included in aggregate %.

193 of 206 new or added lines in 10 files covered. (93.69%)

4 existing lines in 1 file now uncovered.

1919 of 2201 relevant lines covered (87.19%)

16.85 hits per line

Relevant lines Covered
2201 RELEVANT LINES 1919 COVERED LINES
16.85 HITS PER LINE
Source Files on master

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
37561930306 vector-search refactor(ListArticles): remove unused filter.mediaDuration It was left over from the design that embedded media in duration-based segments. Embedding now only covers the first 80 seconds, and the resolver never read the field. Co-Authored-By: Cl... Pull #388 yutin1987 github
84.35
37561932820 vector-search Merge 24881bc99 into 412627246 Pull #388 web-flow github
84.35
37559742708 vector-search feat: hybrid BM25 + kNN vector search with Gemini embeddings Add dense-vector (kNN) retrieval to ListArticles/ListReplies, opt-in via the `embedding` similarity filter. kNN narrows the candidate set and the existing BM25 / perceptual-hash scoring... Pull #388 yutin1987 github
84.35
37339790156 vector-search feat: hybrid BM25 + kNN vector search with Gemini embeddings Add dense-vector (kNN) retrieval to ListArticles/ListReplies, opt-in via the `embedding` similarity filter. kNN narrows the candidate set and the existing BM25 / perceptual-hash scoring... Pull #388 yutin1987 github
84.34
37339798082 vector-search Merge e79f46dc1 into 412627246 Pull #388 web-flow github
84.34
37339395935 vector-search feat: hybrid BM25 + kNN vector search with Gemini embeddings Add dense-vector (kNN) retrieval to ListArticles/ListReplies, opt-in via the `embedding` similarity filter. kNN narrows the candidate set and the existing BM25 / perceptual-hash scoring... push yutin1987 github
84.36
37339404529 vector-search Merge 70a93496f into 412627246 Pull #388 web-flow github
84.36
37338308864 vector-search feat: hybrid BM25 + kNN vector search with Gemini embeddings Add dense-vector (kNN) retrieval to ListArticles/ListReplies, opt-in via the `embedding` similarity filter. kNN narrows the candidate set and the existing BM25 / perceptual-hash scoring... Pull #388 yutin1987 github
84.4
37040970942 vector-search feat: hybrid BM25 + kNN vector search with Gemini embeddings Add dense-vector (kNN) retrieval to ListArticles/ListReplies, opt-in via the `embedding` similarity filter. kNN narrows the candidate set and the existing BM25 / perceptual-hash scoring... Pull #388 yutin1987 github
84.41
37040978297 vector-search Merge b9523e457 into 412627246 Pull #388 web-flow github pending completion  
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