Explore how to build enterprise-grade Retrieval-Augmented Generation (RAG) systems by harnessing the power of SQL AI Agents, vector-based search, and Microsoft Fabric. This session dives into modern architectures that combine structured data with large language model (LLM) capabilities to enable real-time, intelligent, and secure applications.

You’ll learn how Model Context Protocol (MCP) enables dynamic, context-aware interactions across agents, helping streamline workflows, maintain consistent data access, and support scalable deployment patterns. We’ll cover how to configure vector indexes, embed unstructured content, and orchestrate intelligent querying using SQL AI Agents powered by Azure SQL and SQL DB in Fabric.

Learn how to optimize performance, enhance data security, and manage complex enterprise deployments while pushing the boundaries of data-driven decision-making. You’ll leave with a practical playbook for deploying RAG pipelines that are robust, secure, and ready for real-world scale.