Preserve semantic reader after failed generation rebuild
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@@ -21,8 +21,10 @@ searchable content or hide slow first inputs behind warm percentiles.
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## Runtime and setup
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Use tools/embeddinggemma2/model-manifest.json and its pinned runtime builder.
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Build/stage CPU workers for VM tests. Production acceleration requires separate
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hardware evidence and reliable CPU fallback. Verify size/SHA-256, cache reuse,
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Normal distribution builds and staging use `auto`, with GPU support and CPU
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fallback in the same runtime. Force `SEARCHI_FORCE_CPU=1` for every Windows VM
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inference test; explicit CPU builds are internal test tools only. Production
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acceleration requires separate hardware evidence. Verify size/SHA-256, cache reuse,
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interrupted downloads, errors, and retries. Keep inference local. Never substitute
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MiniLM, simulated vectors, or hosted inference. Ship the worker with the app.
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