Retrieval and embeddings

Prepare an index rebuild plan

Prepare an index rebuild plan through a bounded evidence-first AI operations workflow in the training lab.

9 min Admin Lesson 105 of 180

cat /opt/ai-lab/rag/index-status.jsonaiops rag retrieve prepare-an-index-rebuild-plangrep rag /opt/ai-lab/rag/index-status.json

Lesson 105 of 180 0/180 lessons 0/18 missions 0/11 briefings Retrieval and embeddings · 9 min

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learner@aiops:/home/learner $ AI operations lab: type a command, press Enter

Instructions 9 min

Click any instruction for the command details, the why, and the common mistake to avoid.

Inspect the retrieval and embeddings baseline

Type this exactly: cat /opt/ai-lab/rag/index-status.json

cat /opt/ai-lab/rag/index-status.json

Run the rag review

Type this exactly: aiops rag retrieve prepare-an-index-rebuild-plan

aiops rag retrieve prepare-an-index-rebuild-plan

Confirm the evidence

Type this exactly: grep rag /opt/ai-lab/rag/index-status.json

grep rag /opt/ai-lab/rag/index-status.json

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Lesson support

What to notice while you play.

Objective

Use commands and observable output to explain prepare an index rebuild plan without changing a real model or service.

Hint

Start with cat /opt/ai-lab/rag/index-status.json. Then run aiops rag retrieve prepare-an-index-rebuild-plan before collecting the final evidence.

Why it matters

Prepare an index rebuild plan is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.

Common mistakes

Skipping the baseline fixture before reasoning about prepare an index rebuild plan.
Treating one simulated output as proof of root cause instead of one bounded piece of evidence.

Reference

Commands in this lesson.

aiops models

Inspect the simulated model catalog, manifests, and version comparisons.

aiops prompts

Review versioned prompt metadata and deterministic prompt diffs.

aiops evals

Run and inspect bounded evaluation fixtures without model execution.

aiops rag

Inspect retrieval documents, chunks, index status, and reviewed results.

aiops traces

Read deterministic request traces, summaries, and latency evidence.

aiops guardrails

Review simulated guardrail policies, checks, and audit summaries.

aiops cost

Estimate cost and capacity from fixed training metrics.

aiops incidents

Review incident timelines, evidence bundles, and operator notes.