Showing archive results for 2025

At the start of this year, we released a new set of T-SQL AI features for embedding your relational data for AI applications. Today, we have brought those features to Azure SQL and SQL database in Microsoft Fabric. This post will help you get started using the new AI functions of Azure SQL. Prerequisites Set up your env...

The MSSQL Extension for VS Code continues to evolve, delivering features that make SQL development more integrated, more consistent, and more developer-friendly. In version v1.37.0, we’re announcing the Public Preview of Edit Data, Data-tier Application (DACPAC/BACPAC) export & import, and the SQL Database Projects Publish Dialog, along with th...

We are happy to share that DiskANN vector indexing is now in public preview across Azure SQL Database, Azure SQL Managed Instance, and SQL database in Microsoft Fabric. DiskANN is a cutting-edge algorithm for efficient vector similarity search, making it ideal for powering recommendation systems, image and multimedia search, and advanced retrieval-...

SQL Server 2025 marks a major milestone in database innovation by introducing native support for VECTOR data types and vector functions. These are now fully available in the freshly released SQL Server 2025 RTM. This means you can store and process high-dimensional embeddings directly within your database. It eliminates the need to move data acr...

We’re excited to announce the General Availability (GA) of native Regex support in SQL Server 2025 and Azure SQL — a long-awaited capability that brings powerful pattern matching directly into T-SQL. This release marks a significant milestone in modernizing string operations and enabling advanced text processing scenarios natively within the ...

Introduction Leveraging OpenAI for semantic searches on structured databases like Azure SQL enhances search accuracy and context-awareness, providing more relevant and insightful results. This example showcases the use of Azure SQL for storing and searching data with AI. By implementing the RAG pattern with Azure SQL, the sample efficiently sea...

Data API builder (DAB) provides REST and GraphQL endpoints over SQL Server, Azure Cosmos DB, PostgreSQL, MySQL, and SQL Data Warehouse. REST endpoints support several HTTP headers that let you control how requests behave. These headers give you precision over updates, caching, and discovering new resources. If-Match By default, DAB treats PUT a...

Previously, developers were limited to the default log levels and filters hardcoded into DAB. With release 1.6, you can now configure filters and levels for logs emitted by the engine. This release also adds new sinks. In addition to Application Insights and OpenTelemetry publishing, Data API builder now supports both file and Azure Log Analytics a...

Azure SQL vector support has been generally available for a few months now, and the ecosystem is quickly evolving to make working with vectors in your applications as seamless and efficient as possible. With the release of Microsoft.Data.SqlClient 6.1, developers can now take advantage of binary transport for vector data via the new class. This...

We’re excited to announce major improvements to DiskANN in SQL Server 2025 RC1, making vector search faster, more scalable, and more storage-efficient than ever before. ⚡ Significantly Faster Index Builds Building DiskANN indexes is now considerably faster, thanks to optimizations that better utilize all available CPU cores and improve the ef...