Showing results for AI - Azure SQL Devs’ Corner

I'm happy to announce that SQL Server 2025 CTP 2.1 is now available, and it brings significant improvements to DiskANN support. While DiskANN remains in preview, each release continues to remove limitations and boost performance. In this release, we’ve made a particularly notable leap in vector index creation speed, with more enhancements on the ho...

Today, more and more customers are embracing AI with one clear goal in mind: they want to chat with their data. And by "data," they mean all of it:  structured tables, unstructured documents, images, audio, and more. This demand has given rise to hybrid approaches that blend semantic understanding with precise data retrieval. But here’s the chal...

Missed out on MS Build 2025? No worries! Our lab is now available for your exploration. Dive into a unique cryptozoology experience using Azure SQL and Azure AI to uncover intriguing (and true) connections among cryptids worldwide. Curious about who would reign supreme in a battle royal or which regions of the world hold the key to encountering ...

We are thrilled to announce that Azure SQL Managed Instance now supports Vector type and functions in public preview.  This builds on the momentum from Azure SQL Database, where vector support has been in public preview since December. Check out the detailed announcement 💡 Why Choose Azure SQL Managed Instance for AI-Driven Modernization? ...

Back in the earlier part of the year (February maybe?), I put this tutorial together for our early adopters in the SQL Server 2025 program. It’s a guide for setting up SQL Server 2025 in a Hyper-V VM (I used Windows Server) with Ollama and ngnix as an https proxy. It's a variation of my workshops for Ignite 2024 and a SQL in Fabric one from Februar...

We have some great new AI Features in SQL Server 2025. I also figured a video would be better than reading a blog.... https://www.youtube.com/watch?v=dDJheVYgeVo but, you can also read all about it here.

Storing and querying text embeddings in a database it might seem challenging, but with the right schema design, it's not only possible, it's powerful. Whether you’re building AI-powered search, semantic filtering, or recommendation features, embeddings, and thus vectors, are now a first-class data type. So how do you model them well inside a databa...

OpenAI recently introduced a powerful new feature for developers: structured output using JSON Schema via the parameter. This makes it possible to request responses from a GPT-4o model that strictly match a given schema—no free-text, no guesswork. If you're working with Azure SQL, this is a game-changer. Combined with the stored procedure and SQ...

In today's data-driven world, delivering precise and contextually relevant search results is critical. SQL Server and Azure SQL Database now enable this through Hybrid Search—a technique that combines traditional full-text search with modern vector similarity search. This allows developers to build intelligent, AI-powered search experiences directl...

For decades, SQL Server has been a cornerstone of data management, evolving to meet the needs of modern developers. What began as a traditional relational engine is now a cloud-enabled, AI-integrated platform designed for building real-world applications. SQL Server continues to meet developers where they are—offering tools, services, and capabilit...