Operations Guide
RAGOps Health Monitor Setup Guide for Platform Teams
70% of RAG systems fail in production due to retrieval issues. This guide defines the monitoring setup for retrieval quality, drift detection, and continuous evaluation.
Implementation Steps
- Define retrieval quality metrics: recall rate, context precision, MRR.
- Set up knowledge drift detection for semantic correctness monitoring.
- Implement real-time evaluation loop with RAGAS integration.
- Configure alert thresholds for retrieval quality degradation.
Get weekly AI operations templates
Receive ready-to-use rollout, governance, and procurement templates.
No lock-in setup: if a lead endpoint is not configured, this form falls back to direct email.
Need help implementing this workflow in production?
Request a focused implementation audit for process design, owners, and KPI instrumentation.
- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion