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This pull request introduces a new Jupyter notebook benchmarking the vector search performance (Recall vs QPS) of AlloyDB ScaNN in Auto Mode using the GloVe-100 Angular dataset. The review feedback highlights several critical security and reliability improvements, including addressing SQL injection risks by parameterizing queries in data ingestion and benchmark execution, switching to HTTPS for secure dataset downloads, and adding a network timeout to prevent indefinite hangs during download.
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Description
Fixes #
Checklist
Testing
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Post-Approval Actions