The original title is: "A Real RAG Pipeline on Azure: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍"

Short summary

Build a RAG pipeline for internal docs Q&A on Azure: load PDFs to Blob Storage, index with Azure AI Search's hybrid vector+keyword search, and generate grounded answers with Azure OpenAI. Terraform provisions everything with model deployments as single-line tfvars changes. Complete walkthrough with Python SDK setup code and regression evaluation approach.

• •Azure AI Search handles hybrid vector+keyword indexing without writing embedding code
• •Terraform variables make model upgrades one-line changes to tfvars
• •Production-ready code example with architecture and evaluation strategy

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