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RAG-03 · Index design, schema change and cut-over

Index schema mistakes such as a wrong analyser, a missing filterable flag or the wrong vector dimensions only show up late and most of them need a full rebuild. Teams then reindex in place and take an outage because nobody wrote down the safe way.

  • Who reads it: GenAI engineers designing Azure AI Search indexes and DevOps engineers operating them in production
  • Outcome: Zero-downtime reindex, every time
  • Pack owner: Yogeshwaran (catalog owner role: RAG Lead)

Master catalog entry

  • Catalog name: Index Design & Schema Guide (P1)
  • Why it matters: Index design mistakes surface late and are expensive to reverse
  • What it removes: Field, analyser, vector profile and scoring decisions pre-made
  • Stack: Azure AI Search, hybrid search, semantic ranker
  • Maturity target: Level 3 — schema templates for four corpus archetypes

Playbooks

ID Story Title Kind Complexity Urgency Status Owner Planned publish
PB-RAG-03-01 RAG-03-S1 Choose fields, analysers, vector profiles and ranking for four corpus archetypes Decision guide High 3 draft Yogeshwaran 2026-12-07
PB-RAG-03-04 RAG-03-S2 Index go-live and capacity checklist Checklist Medium 4 draft Kandiah Chockalingam 2026-11-20