Showing results for AI - Azure SQL Devs’ Corner

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.

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, the ability to seamlessly integrate various technologies is crucial for efficient data management and analysis. We’re excited to announce LangChain integration with Azure SQL Database and SQL database in Microsoft Fabric! LangChain, a powerful tool for building solutions with language models, can be effectively comb...

The Football (aka Soccer in US 😀) Analisys Copilot provides an intuitive interface for users to interact with complex football data without needing advanced technical skills. By utilizing natural language processing, users can ask questions and retrieve detailed insights from vast datasets, including competitions, matches, teams, players, and e...

RAG - Retrieval Augmented Generation - is by far one of the most common patterns today as it enables the creation of chatbots that can chat on your own data, as I described in my previous "Retrieval Augmented Generation with Azure SQL" blog post. As soon as you start to use it excitement grows, as it provides a sort of a magical experience. Experie...

Latest update - 06 November 2024 Vector Support is now available as Public Preview! Read the announcement here: Public Preview of Native Vector Support in Azure SQL Database! Access to full documentation here: Vector functions. The new data type Not even 6 months ago we started the Early Adopter Preview vector data support in Azure SQL, and...