Overview  AI and machine learning roles are seeing the fastest growth globally, with employers prioritizing expertise in LLMs ...

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

A Retrieval-Augmented Generation (RAG) chat application built on Azure that provides AI-powered answers grounded in your organization's documents — with clickable citation links that let users view ...

Enjoys fixing messy problems with clean code, good questions and the occasional AI assist. Enjoys fixing messy problems with clean code, good questions and the occasional AI assist. Enjoys fixing ...

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.

A production-ready Python project demonstrating how to build a Hybrid RAG (Retrieval-Augmented Generation) Agent using Azure AI Foundry Agents. This project serves as: A technical reference for ...

How Eija Rasinmaki reinvented a humble tradition for the modern world. By Aino Frilander Reporting from Helsinki, Finland Unlike many birthplaces of groundbreaking designs, Eija Rasinmaki’s weaving ...

NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...