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Turning dazzling AI capabilities into durable software applications poses fresh new challenges, but the keys to overcoming them are basic and boring.
Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility.
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose.
AI in healthcare and other industries won’t fly unless compliance is baked in from day one — not bolted on after.
With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search engines.
The modernization platform will look at converting both legacy databases and code, the company said.
A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook.
Engineering fundamentals aren’t just for computer science students. They pay huge dividends in both your systems’ service levels and your company’s balance sheet.
Working with AI at scale requires that you use models and their APIs like any other components in a software development stack.
LLMs are memory hogs, but PagedAttention fixes that, making AI apps faster, cheaper and way more efficient.