DEEP EXPLANATION

Vector DB Observability Metrics (ANSWERED)

Project BasedVector DatabasesMedium14 min read

Latency, recall proxies, ingest lag, index size, filter rates, error budgets, and RAG downstream signals.

TL;DR — Quick Answer

Monitor query p50/p99 latency, QPS, error rate, recall proxies (similarity distribution, empty results), ingest lag/time-to-searchable, index size/segment count, filter selectivity, and downstream RAG metrics (faithfulness, thumbs-down). Alert on SLO burn rates and correlate with embedding model or parameter changes.

The Interview Question

What metrics and dashboards do you need to operate vector search in production?

Deep Explanation

Query-side metrics

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