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RAG & MCP

RAG Monitoring

Production monitoring for RAG systems: retrieval quality dashboards, drift detection, and automated alerting.

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Online Monitoring & Continuous Improvement

Online Monitoring & Continuous Improvement

Production Monitoring Dashboard

MetricAlert ThresholdWhat It MeansFix
Retrieval latency p99> 500msVector index overloaded or cold cacheScale vector DB, warm cache, reduce top_k
Empty retrieval rate> 5%Queries hitting topics not in your corpusExpand corpus, add fallback search
"I don't know" rate> 20%Too many unanswerable queriesAnalyze patterns, expand knowledge base
Faithfulness score (daily avg)< 0.85Model hallucinating more than acceptableTighten context, add citation enforcement, check for stale docs
User thumbs-down rate> 15%Users unhappy with answersAnalyze negative feedback, segment by category
Index freshness> 24h staleNew docs not being indexedCheck ingestion pipeline, fix backlog
Embedding driftCosine sim of avg embedding shifts > 0.1New content is significantly different from oldRetrain embeddings or expand fine-tuning data

Continuous Improvement Loop

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