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 build an AI chatbot in C# with the OpenAI API. Step-by-step .NET 8 tutorial with streaming, history & function calling. Start coding now! Building an AI chatbot is one of the most in-demand skills for .NET developers in 2026, and the good news is that the C# OpenAI API integration story has never been better. With the official OpenAI .NET SDK, you can go from an empty console project to a fully functional, streaming, context-aware chatbot in under an hour. In this complete tutorial, you'll learn how to build an AI chatbot with C# and the OpenAI API from scratch — including conversation history, streaming responses, function calling, and the production best practices most tutorials skip. We'll explain not just how each piece works, but why it's designed that way, so you can adapt this foundation to web apps, Blazor, ASP.NET Core APIs, or desktop applications. What You'll Build and What You Need By the end of this tutorial you'll have a c...