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 C# pattern matching with this complete guide covering switch expressions, property patterns & list patterns. Runnable examples & best practices — start now! C# pattern matching is one of the most powerful features added to the language in recent years, and it fundamentally changes how you write conditional logic. Instead of long, nested if-else chains and clunky type checks, C# pattern matching lets you test the shape, type, and values of data in a single, readable expression. In this complete guide, you'll learn everything from basic type patterns to advanced switch expressions, property patterns, and list patterns — with runnable C# code examples you can drop straight into your projects. Whether you're a beginner searching for how to use the switch statement, an intermediate developer looking for best practices, or a senior engineer exploring advanced pattern matching in C#, this tutorial covers it all. Let's dig in. What Is C# Pattern Matchin...