Bogdan Gavrilovic

As we move from simple chatbots to autonomous Agentic Applications, the data requirements have shifted from static retrieval to dynamic interaction. Agents now need to read, write, and reason over data in real-time, blurring the lines between transactional (OLTP), real-time, and analytical (OLAP) workloads. In this session, we will demonstrate with a real application how Microsoft Fabric serves as the comprehensive "nervous system" for next-generation AI agents.

This demo-heavy session highlights the MSSQL extension for Visual Studio Code, now more robust with new AI-driven features to streamline SQL development. With GitHub Copilot, you can move faster from schema to code, generate data, explore relationships, and keep your app in sync. What’s new in connectivity for Python and other languages, enabling faster, more secure cross-platform development.

Unlock the power of your own data by combining Microsoft SQL (SQL Server 2025, Azure SQL, or SQL Database in Microsoft Fabric) with cutting-edge AI techniques. In this workshop, you’ll learn about embeddings and vector search and why they matter for modern AI applications. We’ll guide you through generating embeddings using similarity search to retrieve the most relevant data. We’ll implement the Retrieval-Augmented Generation (RAG) pattern by calling a Chat model, then explore its limitations. Evolve into Agentic RAG and create an orchestrator to intelligently choose between running semantic search or writing a SQL query to answer complex requests. Learn to secure data access so that only authorized information is available to AI agents using Row-Level Security By the end, you’ll have built an end-to-end solution that combines SQL’s reliability with AI’s intelligence and be well prepared for SQL AI Developer certification exam.

Future applications will combine intuitive UI with powerful AI interactions, enabling AI agents to on our behalf for the best experience. At the heart of this transformation is AI Foundry. In this session, we’ll explore how to integrate AI Foundry with Azure SQL, from architecture deep dive through security considerations, to give you the best knowledge to bring your solutions to the next level.

Unlock the power of your own data by combining Microsoft SQL (SQL Server 2025, Azure SQL, or SQL Database in Microsoft Fabric) with cutting-edge AI techniques. In this workshop, you’ll learn about embeddings and vector search and why they matter for modern AI applications. We’ll guide you through generating embeddings using similarity search to retrieve the most relevant data. We’ll implement the Retrieval-Augmented Generation (RAG) pattern by calling a Chat model, then explore its limitations. Evolve into Agentic RAG and create an orchestrator to intelligently choose between running semantic search or writing a SQL query to answer complex requests. Learn to secure data access so that only authorized information is available to AI agents using Row-Level Security By the end, you’ll have built an end-to-end solution that combines SQL’s reliability with AI’s intelligence and be well prepared for SQL AI Developer certification exam.