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RAG & MCP

RAG Monitoring

What to log, what to watch with no labels, how big a judged sample an alert needs, how to tell drift kinds apart, how to measure freshness and deletes, and how to send a bad answer to the gate that lost it.

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After this section you can

  • Log a RAG request so any answer traces to its chunks, scores and version stamps
  • Size a judged sample so an alert threshold means what it says
  • Triage a bad answer to one of the five gates and turn it into a regression case
13

RAG Monitoring: Catching Silent Regressions

A golden set proves the day you shipped; production moves without a deploy. Log enough to explain an answer, and watch what needs no labels.

Key idea

A RAG system fails silently: documents change, questions drift and model aliases move, and no code changes. Log each retrieval, watch label-free signals, judge a sized sample, probe known answers, and send each bad trace to its gate.

You cannot label production, so watch it at four speeds
Logged request ids, scores, stamps Every request · label-free signals top-1 score, rows left, citation coverage A sample · reference-free judge sized by n, coverage beside every score On a schedule · known answers golden ids, canary, deletes, isolation Each week · bad traces one gate each, then a regression case Regression set confirmed failures only re-run confirmed

Every speed reads one logged request. Wider than your screen? Scroll sideways.

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