Spread the love“`html If you’ve ever found yourself wrestling with Microsoft Access, wishing it could do just a little more, ...

Diese Memory-Projekte versprechen LLMs und KI-Agenten smarter zu machen – und die Ergebnisse, die sie liefern, drastisch zu ...

AMD Developer Hackathon: ACT II names its first track "Hybrid Token-Efficient Routing Agent." The name is a hint: the winning approach isn't picking one model and calling it on every query, it's ...

SQL Server DBA specializing in performance tuning and disaster recovery. Bad code rarely begins the cascade of most SQL Server performance problems. Typically, it begins with something that is much ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...

A customer demo application that uses Azure OpenAI GPT-4o and the Microsoft Agent Framework to query an Azure SQL Database using natural language. Built with Flask, this web application provides an ...

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 ...

In this blog, we will build live image search and query it with natural language. For example, you can search for "an elephant", or a "cute animal" with a list of images as input. We are going to use ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

Abstract: With the increasing complexity of database query requirements, the technology of converting natural language query into SQL (NL2SQL) becomes particularly important. The tree model simulates ...

In this Microsoft SQL Server and JDBC tutorial, you'll learn how to connect to a Microsoft SQL Server in Java using JDBC. The steps are relatively straightforward: Each database is different, so ...