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From React Docs to AI Answers: Building a RAG Assistant with Azure AI Search + Azure OpenAI

In this session, I’ll walk through how to build an AI-powered documentation assistant for a modern React web product using Azure AI Search, Azure OpenAI, and a Next.js frontend. The talk will focus on a practical use case: taking documentation, component examples, and product content, indexing it for retrieval, and using that context to generate grounded answers inside a web app.

I’ll cover the architecture, data flow, prompt design, chunking strategy, deployment approach, and common mistakes developers run into when adding AI to real web products. The session will include code examples and a demo-style walkthrough showing how a developer could turn static docs or internal knowledge into an interactive AI assistant.

Attendees will leave with a practical blueprint for building their own RAG-powered web experience on Azure without turning it into an overcomplicated cloud architecture.

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