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feat(embed): static (model2vec) embeddings + extra-languages gating — v0.19.0
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feat(embed): static (model2vec) embeddings + extra-languages gating — v0.19.0
#7
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Commits on Jun 26, 2026
feat(embed): gated split-identifier words in embed text + distillation plan
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refactor(embed): Embedder trait — swappable backend behind VectorEngine
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feat(embed): StaticEmbedding backend — model2vec-format lookup, no ONNX
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test(embed): throughput example — static vs ONNX
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docs(embed): record progress + 103x release throughput in the plan
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test(embed): retrieval quality micro-eval — static floor vs BGE
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feat(embed): F16 + SIF-weighted static loading + Jina-Code distill script
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docs(embed): record jina-code-static A/B — 70x faster, micro-eval saturated
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test(embed): real 965-way retrieval eval — static ~65% of BGE (pure semantic)
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test(embed): complete static lever sweep — gap is the contextualization ceiling
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test(embed): hybrid (BM25+semantic) eval — static is ~90% of BGE end-to-end
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Commits on Jun 27, 2026
test(embed): embed_throughput can load a real corpus (CODEGRAPH_THROUGHPUT_CORPUS)
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feat(embed): EmbeddingBackend — select static via --embedding-model static
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docs(embed): expose static mode in VS Code + MCP + READMEs
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test(embed): server-side eval driver + full-body corpus extractor
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docs(embed): server-side eval — static ~94% of BGE through real symbol_search
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Commits on Jun 29, 2026
perf(parser): gate 6 zero-usage grammars behind `extra-languages` (-25 MB)
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docs: note COBOL/Fortran/Perl/Dart/Zig/R are extra-languages-gated
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feat(embed): static-model telemetry + release-independent model fetch
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Commits on Jun 30, 2026
chore: bump version to 0.19.0 (static embeddings feature)
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docs(embed): note static model ships bundled in VS Code extension
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