The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

Update implements Jakarta EE 11 platform and brings support for Jakarta Data repositories and virtual threads.

Abstract: The purpose of mobile edge computing is to distribute various concurrent applications to multiple edge servers for execution. During the distribution process, some servers are only allocated ...

What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...

New AI Graph Toolkit makes it 10x easier to port SQL and unstructured data into a knowledge graph Developers accelerate access to GraphRAG to meet business users’ demands for accurate ChatGPT-style ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, complete with a PowerShell script that handles the networking configuration.

CloudBeaver offers a powerful web API through the GraphQL protocol, enabling advanced server interactions and data manipulation. The built-in GraphQL console lets you explore the schema, run queries, ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...