embedding-drift-monitor
OfficialMonitor recall-quality of Azure AI Search indexes and alert on drift.
AuthorInnerScopeHearing
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill serves as a monitor to ensure recall-quality of Azure AI Search indexes and alerts on any drift in the results, preventing silent degradations.
Core Features & Use Cases
- Index Monitoring: Samples and scores probe queries against Azure AI Search indexes.
- Drift Detection: Compares against a baseline to identify potential drift in results.
- Reporting: Generates a report or emits events to alert when drift is detected.
- Use Case: Utilizes the Skill as part of Azure GenAIOps patterns to continuously check retrieval quality of search indexes without blocking the CI process.
Quick Start
Use the drift.mjs script with --json out.json to generate a structured report on embedding drift.
Dependency Matrix
Required Modules
otchealth-kb-memory/azure-secret.mjs
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: embedding-drift-monitor Download link: https://github.com/InnerScopeHearing/otchealth-claude-tools/archive/main.zip#embedding-drift-monitor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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