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@placerda placerda released this 26 Jun 03:25
· 152 commits to develop since this release
edf1a62

Adds end-to-end Foundry IQ retrieval support to GPT-RAG.

This release updates GPT-RAG configuration, deployment pins, and documentation so operators can deploy GPT-RAG with Foundry IQ as the retrieval backend.

What changed

  • Updated GPT-RAG manifest pins for the v3.0.0 release.
  • Pinned AI Landing Zone Bicep module to v2.1.0.
  • Pinned gpt-rag-orchestrator to v2.9.0.
  • Added post-provision and App Configuration defaults for Foundry IQ deployments.
  • Aligned generated Knowledge Base, Knowledge Source, and Azure AI Search endpoint names.
  • Documented Foundry IQ deployment patterns, authorization behavior, migration, rollback, billing, limitations, and troubleshooting.

Why it matters

GPT-RAG can now be deployed with either Azure AI Search retrieval or Foundry IQ retrieval using a documented, repeatable release path.

Foundry IQ deployments support:

  • Pattern A: native permissions with OBO.
  • Pattern B: custom security fields with filterAddOn.

Component versions

Component Version
gpt-rag-ui v2.3.13
gpt-rag-orchestrator v2.9.0
gpt-rag-ingestion v2.4.13
bicep-ptn-aiml-landing-zone v2.1.0

Validation

Validated in a live Azure environment:

  • Provision and deploy completed successfully.
  • Foundry IQ direct retrieval returned HTTP 200.
  • Orchestrator image smoke test returned HTTP 200.
  • Logs confirmed retrieval through Foundry IQ.
  • Frontend health, ingestion docs, and orchestrator docs endpoints returned HTTP 200.

References