If you want to start building AI applications on your own machine, the Microsoft Foundry Local Lab is one of the most useful places to begin. It is a practical workshop that takes you from first-time...

If you have been building AI agents with LangChain, you already know how powerful its tool and chain abstractions are. But when it comes to deploying those agents to production — with real infrastruc...

If you are building local AI applications, basic retrieval augmented generation is often only the starting point. This sample shows a more practical pattern: combine lexical retrieval, ONNX base...

Why your model runs great on your laptop but fails in the real world You have trained a model. It scores well on your test set. It runs fine on your development machine with a beefy GPU. Then someo...

Problem Most schools use a smart‑card‑based attendance system where students tap their cards on a reader. However, this method is unreliable because students can give their cards to friends or...

If you’re learning to build AI agents, you’ve probably hit a familiar wall: your agent can generate text, but it doesn’t actually know anything about your data. It can’t look up your documents, searc...

Introduction When building AI-powered applications on Azure, one of the most impactful decisions you make isn't about which model to use, it's about how your application selects models at runtime. ...

A practical guide to building an on-device AI support agent using Retrieval-Augmented Generation, JavaScript, and Microsoft Foundry Local. The Problem: AI That Can't Go Offline Most AI-powe...

Introduction In this blog post, we will be showcasing the project that we have worked on for the last couple of weeks. Here, we analysed a dataset using Power BI and its machine learning capab...