Learn Azure AI Search with C# — index data, run vector and hybrid queries, and add RAG to your .NET app. Start building intelligent search today. If your application's search box still runs a LIKE '%term%' query against SQL Server, your users are quietly suffering. They type "cheap laptop for uni" and get zero results because your catalogue says "affordable notebook for students." Azure AI Search with C# fixes exactly this problem: it combines classic keyword search, vector embeddings, and semantic reranking into a single managed service that you can drive from .NET with a few dozen lines of code. In this tutorial you'll build a working search index from scratch, run keyword, vector, and hybrid queries, and finish with a Retrieval Augmented Generation (RAG) pattern that grounds an LLM in your own data. This guide targets .NET 9 and the Azure.Search.Documents v11 SDK. Every snippet is runnable. We'll explain why each design choice matter...
Learn microservices architecture in ASP.NET Core — design, build, and deploy scalable .NET microservices with code examples. Start building today. Microservices architecture has become the default answer for teams that need to ship features fast without stepping on each other's toes. Instead of one giant ASP.NET Core application where every deployment is a high-stakes event, you build a set of small, independently deployable services — each owning its own data, its own release cycle, and its own failure boundary. In this guide, you'll learn how to design a microservices architecture in ASP.NET Core, build two communicating services with runnable C# code, and deploy them at scale with Docker and Kubernetes. More importantly, you'll learn why each decision matters, because microservices done wrong are far more painful than a well-organized monolith. What Is Microservices Architecture (and When Should You Use It)? Microservices architecture is an approach to building s...