Build Enterprise RAG with OpenAI & SQL Server 2025

About this course

Build an enterprise-style Retrieval Augmented Generation solution using SQL Server 2025, native vector search, T-SQL, and OpenAI.Generative AI is transforming how users interact with business data. But what if you could bring modern AI capabilities directly into SQL Server and allow users to ask natural-language questions that are answered using information retrieved from your own database?

In this hands-on, project-based course, you will build a complete RAG application from the ground up using SQL Server 2025 and the Adventure

Works database.

You'll begin by understanding Retrieval Augmented Generation, embeddings, semantic search, and vector databases. You'll then configure SQL Server to communicate securely with OpenAI and learn how to protect API credentials using database security features.

Next, you'll create a dedicated AI vector store using SQL Server 2025's native VECTOR data type. You'll transform Adventure

Works product information into vector embeddings using OpenAI and store those embeddings directly inside SQL Server.

You'll then create a DiskANN vector index and use semantic vector search to retrieve products based on meaning and user intent rather than relying solely on exact keyword matches.

But this course goes beyond a basic RAG demonstration.

You'll implement authorization-aware retrieval, ensuring that only permitted information can become part of the context supplied to the AI model. You'll combine vector results with live relational business data, build grounded prompts dynamically with T-SQL, and create an AI audit log for monitoring queries and retrieval activity.

Read the full description on Udemy on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.