agentdb performance optimization

SKILL.md

Provides comprehensive performance optimization techniques for AgentDB vector databases. Achieve 150x-12,500x performance improvements through quantization, HNSW indexing, caching strategies, and batch operations. Reduce memory usage by 4-32x while maintaining accuracy.

Performance: <100µs vector search, <1ms pattern retrieval, 2ms batch insert for 100 vectors.

Best For: Large-scale deployments (1M+ vectors), memory-constrained environments Trade-off: 2-5% accuracy loss, 32x memory reduction, 10x faster

通過量化（內存減少 4-32 倍）、HNSW 索引（搜索速度加快 150 倍）、緩存和批處理操作來優化 AgentDB 性能。在優化內存使用、提高搜索速度或擴展到數百萬個向量時使用。 來源：microck/ordinary-claude-skills。

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