feat: add desktop document search and verified native CPU embeddings
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@@ -9,6 +9,23 @@ Initial foundation checks (2026-10-12):
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- `cargo clippy --workspace --all-targets -- -D warnings`: passed.
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- Rust formatting applied; final formatting verification follows integration.
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- Desktop TypeScript/Vite build passed; npm audit reported zero vulnerabilities.
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- Initial Windows desktop native check, embedded app build, strict Clippy and
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two desktop tests passed (index gate recovery and guarded source opening).
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- Desktop launched with WebView2 `--disable-gpu`. UI automation could not capture
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the window: `GetCursorPos` access denied, then monitor capture error
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`0x80070057`. Visual layout and end-to-end UI interactions remain unverified.
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- Real Python CPU ONNX embedding proof completed on 8 documents / 6 queries:
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5/6 top-1 accuracy, 6/6 recall@3. The strict top-1 quality gate is not met.
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See `tools/semantic-proof/windows-cpu-result.json` for raw timings and rankings.
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This tiny fixture is not evidence of large-corpus performance.
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- Native Rust CPU embedding adapter compiled, passed its three unit tests and
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the explicit local-model smoke test. The smoke reproduced the same 5/6 top-1
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limitation. Default CI omits this asset-dependent test; it must be executed
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separately with provisioned local artifacts.
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- Integrated workspace validation: 19 default tests passed; 1 local-model test
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is opt-in. Rust formatting and strict Clippy passed after lockfile refresh.
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- PDF/DOCX fixture tests include matching source locations, corrupt replacement,
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encrypted PDF behavior and compressed-input limits.
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Not yet established: production latency targets, semantic inference, desktop
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runtime behavior, Linux/macOS execution, installer signing or upgrades.
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