Encyclopedia Evalica / Observability / Deep search
Deep search
/deep serch/Searching across large volumes of traces/datasets with filters and semantic search to find patterns and outliers. It's especially useful for finding "nearby" failures that share structure but not keywords. (noun)
“Deep search found a cluster of failures tied to one provider.”
Related Observability terms
- Active observability •
- AI observability •
- Alert / threshold •
- Dashboard •
- Data flywheel •
- Drift •
- Error rate •
- Feedback loop •
- Logs •
- Model drift •
- Online evaluation (production scoring) •
- P50 / P95 / P99 (Percentiles) •
- Sampling rate •
- Service Level Indicator (SLI) •
- Service Level Objective (SLO) •
- Time-to-first-token (TTFT) •
- Token usage / cost tracking •
- Topics
From the docs
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