Showing category results for Vectors

Today, we are announcing the general availability of DiskANN Vector Index & Search across Azure SQL Database, Azure SQL Managed Instance with the always-up-to-date update policy, and SQL database in Microsoft Fabric. DiskANN brings scalable approximate nearest-neighbor search directly to the SQL engine. Developers can store vectors alongside...

Live From Barcelona Woo! I’m posting this live from the first ever European SQLCon (joint conference with FabCon EU), and the second ever SQLCon. The energy here is great, as the community comes together in Barcelona and as we prepare to go on the keynote stage and share what’s new! A heartfelt nod to the internal team, our customers, and the comm...

Bob Ward and I recently released a series of videos, read more in the original blog post or go directly to the series on YouTube. The Azure SQL Database Foundations series are four videos that take you from your first Hyperscale database to AI features running against your own operational data. We also included how to assess and migrate (with AI...

If you’ve been building local prototypes, internal tools, web backends, or lightweight services on SQL Server Express, you know the routine: it’s free, familiar, and gets the job done – until you hit hardware limits or spend weekends manual backup scripts and handling OS patches. Learn how to upgrade from SQL Server Express to Azure SQL Database fr...

Why production AI retrieval depends on more than vector index performance.  It's easy to think of AI retrieval as a vector search problem. For many developers, the first conversation starts with vector index benchmarks: How many queries per second can it handle? What's the latency? What's the recall? How well does it scale? Those metrics are ...

If you work with Microsoft SQL regularly, the AI conversation right now probably feels a little exhausting. Every week brings a new platform, a new pattern, a new opinion about how you’re “supposed” to build AI apps. Most of it assumes you’ll start over. You don’t have to. We’re running SQL AI App in a Day workshops with Microsoft partners ar...

Remember when we announced the Public Preview of DiskANN vector indexes back in November and mentioned that once you created the index, your table became read‑only? Yeah… about that... 😅 We shipped early because the demand for Vector search in SQL was overwhelming. We knew the constraints weren’t ideal, but we also knew the fastest way to get this ...

Supporting re‑ranking has been one of the most common requests lately. While not always essential, it can be a valuable addition to a solution when you want to improve the precision of your results. Unfortunately, there isn’t a universal, standardized API for a “re‑rank” call across providers, so the most reliable approach today is to issue a manua...

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 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...