Vector Database Monitoring — Index Health & Query Performance

I will build a monitoring system for your vector database — tracking query latency percentiles, index size growth, query volume trends, retrieval quality sampling, metadata distribution analysis, and alerts for latency degradation or index capacity warnings. Vector database monitoring prevents the silent failures that production systems encounter — latency degradation as index size grows, metadata filter selectivity changes as data distribution shifts, and capacity limits approaching without warning are all detectable through monitoring that most vector database deployments never implement.

The monitoring covers query latency percentile tracking (p50, p95, p99), index size and growth rate monitoring, query volume trends, retrieval quality sampling using your evaluation metric, metadata distribution analysis, alert configuration, and a database health dashboard.