Page 8 of 8~112 min topic

RAG quality audit

Ship and explain the RAG quality audit report

Page 8 packages proved vs unproved evidence so another engineer can run, trust, or reject the versioned RAG quality audit report.

~14 min this pageMastery and shipping

1Learn the idea

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Assemble the ship record

A shippable lab artifact includes: how to run it, the metric result (citation precision, unsupported answer rate, abstention correctness), the failure you can still reproduce (scoring fluency instead of citation support, or mixing docs versions in one report), the security gate for publishing golden questions that contain real customer PII, and a rollback note. The user decision it supports remains: turn golden questions, expected evidence IDs, and citation checks into a release artifact.

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Freeze the evidence

print({'artifact':'RAG audit report','proved':['citation precision w/ version'],'unproved':['live traffic'],'owner':'rag-ops','rollback':'faq-2026-07-01'})

Expected evidence: audit ship record. Store this beside the fixture version so scores remain meaningful after content changes in rag-quality-audit.

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Explain limits without apology

State operating limits for the RAG quality audit report in plain language: fixture size, offline vs live dependencies, and what would require a new eval set. Shipping rag-quality-audit is honest scoping, not maximal confidence language.

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Lab notebook: proved vs unproved

Fill this table in your notes for the RAG quality audit report:

  • Proved on gold set with expected evidence IDs + candidate run output: …
  • Unproved beyond the fixture: …
  • Metric that blocks release: citation precision, unsupported answer rate, abstention correctness
  • Failure still reproducible: scoring fluency instead of citation support, or mixing docs versions in one report
  • Security gate: publishing golden questions that contain real customer PII
  • Rollback: …

Ship the narrative only when the unproved list is honest. Reviewers trust narrow claims that support turn golden questions, expected evidence IDs, and citation checks into a release artifact more than maximal language that collapses under the first production oddity.

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Worked judgment

Hand your ship note to a peer and ask them to recreate a proved/unproved ship note with rollback without watching you type. If they cannot, your evidence is still tribal knowledge. Tighten the run command and the metric line until a stranger can validate the RAG quality audit report against gold set with expected evidence IDs + candidate run output.

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Why this stage matters for the RAG quality audit report

At the mastery and shipping stage for rag-quality-audit, the job is narrower than finishing a product demo. You are creating one progressive evidence piece about gold set with expected evidence IDs + candidate run output that later pages inherit without redefining success. Keep that fixture small enough to inspect by hand, keep outputs copy-pasteable as text, and refuse to narrate this baseline as if it were a production SLA: previous docs_version audit score.

For this page specifically, success looks like a proved/unproved ship note with rollback while still centering the user decision to turn golden questions, expected evidence IDs, and citation checks into a release artifact. If you cannot point to a file, command, or assertion that proves that for the RAG quality audit report, stay on this page instead of advancing.

Glossary: faithfulness · Glossary: recall@k · Cheatsheet: RAG quality · How-to: evaluate RAG quality

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Before you start

Why this matters

List two things this chapter proved on the fixture and two things it did not prove about the RAG quality audit report. If you cannot name the gaps, you are not ready to ship the narrative—even if the code runs.

In the wild

See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Are proved and unproved lists both non-empty?
2. Is rollback concrete (command or version pin)?
3. Would a stranger reproduce the metric on the fixture?
4. Does the note still center the decision: turn golden questions, expected evidence IDs, and citation checks into a release artifact?

All responses are required.