Showing category results for AI

Jul 31, 2025
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Updated .NET and JDBC Drivers with Native Vector Data Support for High-Performance AI Workload

Davide Mauri

We’ve just released major updates to our data access libraries, bringing native support for vector data to both the .NET and JDBC ecosystems, unlocking significant performance gains for AI and machine learning workloads. Microsoft.Data.SqlClient 6.1.0 With the new class, you can now handle vector data in binary format, replacing the slower JSON ...

AIVectorsDrivers
Jun 19, 2025
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Announcing General Availability of Native Vector Type & Functions in Azure SQL

Pooja,
Davide

We are happy to announce that Native vector support in Azure SQL Database and Azure SQL Managed Instance is moving to General Availability this summer. Deployments are already underway, and several regions have begun receiving the feature. What is going GA? Integrated Vector Data Type Azure SQL introduces a dedicated VECTOR data type that simpl...

Azure SQLAIVectors
Jun 17, 2025
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SQL Server 2025 CTP 2.1: DiskANN Improvements

Davide Mauri

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 th...

AIAzure SQLVectors
Jun 2, 2025
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A story of collaborating agents: chatting with your database the right way

Davide Mauri

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...

Azure SQLAI
May 29, 2025
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Azure SQL Cryptozoology AI Embeddings Lab Now Available!

Brian Spendolini

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 ...

AIAzure SQLT-SQL
May 29, 2025
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Vector Support Public Preview now extended to Azure SQL MI

Pooja,
Mladen,
Davide

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? ...

Azure SQLAIT-SQL
May 28, 2025
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Getting started with AI in SQL Server 2025 on Windows

Brian Spendolini

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...

AIT-SQLAzure OpenAI
May 22, 2025
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New AI Features in SQL Server 2025

Brian Spendolini

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.

AIAzure SQLT-SQL
May 6, 2025
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Efficiently and Elegantly Modeling Embeddings in Azure SQL and SQL Server

Davide Mauri

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...

Azure SQLAIVectors
Apr 21, 2025
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Predictable LLM results with Structured Output and sp_invoke_external_rest_endpoint

Davide Mauri

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...

Azure SQLAI