Optimize vector database queries based on these examples. Example 1 - Filter Pushdown: Original: Query all, then filter by metadata Optimized: Pre-filter with metadata before vector search Improvement: 3x faster, reduced scanned vectors by 80% Example 2 - Batch Queries: Original: 100 sequential single queries Optimized: Batch into 10 requests of 10 queries each Improvement: 5x throughput increase, 60% latency reduction Example 3 - Index Partitioning: Original: Single large index with 10M vectors Optimized: Partition by tenant_id into smaller indices Improvement: p99 latency reduced from 200ms to 50ms Now optimize: Current Query Pattern: {{query_pattern}} Performance Issue: {{performance_problem}} Database: {{vector_db}}
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Query optimizationPerformance tuningDatabase efficiency
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claude-sonnet-4-20250514gpt-4o
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