Build an Agentic RAG with Azure AI Search & Microsoft Foundry | Step-by-Step Tutorial
Unlock the power of Agentic RAG (Retrieval-Augmented Generation with agent capabilities) by combining Azure AI Search and Microsoft Foundry. In this step-by-step tutorial, we’ll walk through how to set up, orchestrate, and deploy an intelligent agent that can plan, search multiple sources, reason like a human, and act using tools.
Timeline
00:00 Introduction to Agentic RAG and Azure AI Search
00:45 Creating the Resource Group in Azure
01:50 Setting up the Storage Account
03:15 Configuring Managed Identities and Permissions
05:30 Initializing Microsoft Foundry Project
07:10 Deploying AI Models (GPT-4o & Text Embedding)
09:20 Setting up Azure AI Search Service
11:45 Uploading Data and Indexing
14:10 Creating and Configuring the AI Agent
16:20 Testing the Agentic RAG System
17:50 Final Review and Next Steps
🔹 What You’ll Learn:
What makes Agentic RAG different from standard RAG
How to configure Azure AI Search for scalable document retrieval
Setting up Microsoft Foundry pipelines for orchestration
Building the agent layer for reasoning and tool use
Live demo: running queries with context-aware responses
Best practices for enterprise-ready AI workflows
🔹 Why Watch?
This video is perfect for developers, AI enthusiasts, and cloud professionals who want to build smarter, tool-using AI systems with Microsoft’s ecosystem.
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