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Grounding Azure OpenAI with energy knowledge

A practical guide to structuring retrieval pipelines for operational manuals, procedures, and asset data.

Morgan Rivera

AI Apps Solution Engineer

April 15, 2026

@mrivera-cloud

Grounding matters most when users expect the model to speak with confidence about procedures, assets, and operational context.

Build a retrieval strategy around user intent

Separate content sources by how people use them:

  • Procedures and manuals for exact operational guidance
  • Incident notes for lessons learned and troubleshooting
  • Asset metadata for context, filtering, and personalization

Indexing tips

Prefer chunking that preserves section meaning, citations, and unit boundaries. Small chunks can improve recall, but only when metadata remains rich enough to disambiguate assets, sites, and document versions.

Operational checklist

  • Version your prompts and retrieval settings
  • Capture source citations in the UI
  • Keep a human feedback loop for low-confidence answers