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Retrieval and embeddings · Lesson 14 of 16 · 9 min

Prepare an index rebuild plan

A safe index rebuild stages a candidate, validates counts and retrieval, and retains the current index until the candidate is accepted. Do not delete the only working index first.

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learner@clairosSimulated AI Ops lab
learner@clairos:~ $
↑ history · Tab complete · Ctrl+C cancel · Esc, Tab to leaveExit 0

Understand the pattern

A safe index rebuild stages a candidate, validates counts and retrieval, and retains the current index until the candidate is accepted. Do not delete the only working index first.

Interpret the evidence

Verify index-42 before switching traffic away from index-39.

A tempting mistake

Delete index-39 immediately to make room for an unverified rebuild.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result
$ cat /opt/ai-lab/cases/aiops-retrieval-embeddings-014.json
{
  "fixture": "Fictional training data; not a live measurement.",
  "current_index": "index-39",
  "candidate_index": "index-42",
  "candidate_verified": false
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .candidate_verified /opt/ai-lab/cases/aiops-retrieval-embeddings-014.json
false

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'stage-and-verify-index' > /home/learner/lab/aiops-retrieval-embeddings-014-decision.txt
(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “stage-and-verify-index” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Prepare an index rebuild plan” justify?

Apply it elsewhere

A colleague concludes: “Delete index-39 immediately to make room for an unverified rebuild.” What should you do?

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Build retrieval evidenceTry an incident drill

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Keep learning

  1. 01Compare retrieval configurationsCompare retrieval configurations on the same query set, corpus and relevance judgments. Otherwise a score change may come from different evidence rather than a better retriever.Practice
  2. 02Build retrieval evidenceA retrieval evidence bundle records query, filters, index and embedding revisions, selected source IDs and failure cases. Redact sensitive query content when sharing outside its boundary.Practice
  3. 03Retrieval checkpointRetrieval readiness requires fresh, accessible, relevant evidence as well as a working index. An answer should not hide a missing or unsupported evidence boundary.Practice