Showing archive results for 2025

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...

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 v1.36.0, we’re announcing the Public Preview of Fabric Connectivity (Browse), SQL Database in Fabric Provisioning, and GitHub Copilot Slash Commands — three capabilities that br...

This article presents an AI-powered approach to automating SQL Server code analysis and refactoring. The system intelligently identifies inefficiencies and common T-SQL anti-patterns, applying best practices through a set of formalized coding rules, using prompt-driven instructions. It not only automatically rewrites problematic and inefficient...

I recently created a GitHub repository to share the T-SQL scripts I've accumulated over 10 years as a DBA. However, I've always struggled to find the right script when I need it. For years, I relied on simple shell commands like find or just my memory, which could take 10-30 minutes, if I was lucky enough to find it. But, we are in the AI age,...

With the release of SQL Server 2025 RC0, we have enabled the ability to use a local ONNX model on the server for embeddings. This allows you to use these models without having any network traffic leaving the local environment. Getting Started This example guides you through setting up SQL Server 2025 on Windows with an ONNX runtime to enabl...

The MSSQL Extension for VS Code continues to evolve, delivering features that make SQL development more visual, more consistent, and more developer-friendly. In version v1.35.0, we’re announcing the General Availability (GA) of Schema Designer, Schema Compare, and Local SQL Server Containers — three powerful tools that bring structure, clarity, and...