22-25 April 2026

From Vectors to Agents: Building AI-Powered Solutions with Microsoft SQL

Proposed session for SQLBits 2026

TL; DR

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.

Session Details

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.

3 things you'll get out of this session

• Learn embeddings, vector search, and similarity search for AI applications • Implement RAG patterns and evolve into Agentic RAG with orchestration • Secure data access for AI agents using Row-Level Security