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 how to deploy ASP.NET Core to Azure App Service step by step. Follow this guide with CLI, Visual Studio & GitHub Actions examples. Start deploying now! Deploy ASP.NET Core to Azure App Service — A Complete Step-by-Step Guide If you have ever wondered how to deploy ASP.NET Core to Azure App Service without spending hours wrestling with configuration, you are in the right place. Azure App Service is Microsoft's fully managed platform for hosting web applications, REST APIs, and backend services. It handles infrastructure, patching, and scaling so you can focus on writing code. In this tutorial, you will learn three proven ways to deploy your ASP.NET Core application to Azure — using the Azure CLI, Visual Studio, and GitHub Actions for CI/CD. By the end, your app will be live on the internet with a real URL. What Is Azure App Service and Why Use It? Azure App Service is a Platform-as-a-Service (PaaS) offering that supports .NET, Node.js, Python, Java, and more...