Mladen Andzic

Azure SQL Database Hyperscale is built for modern AI apps with native vector indexes, semantic search, and low-latency RAG. Scale securely with up to 30 replicas and 150MBps log speed. Invoke models via T-SQL and Azure AI Foundry to modernize mission-critical workloads.

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.

Modern applications need databases with high availability and resilience. You can build the most resilient databases with highest availability using the latest capabilities of SQL Server 2025 and Azure SQL. In this session we will deep dive through architectures, configurations, and our industry leading SLAs which will help you meet your availability, resilience and disaster recovery needs.