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 Azure AI Document Intelligence with C# to extract data from PDFs and documents automatically. Step-by-step tutorial with code examples. Azure AI Document Intelligence with C# — Extract Data from Documents Automatically If you've ever needed to pull structured data out of invoices, receipts, contracts, or any scanned document, you know how painful manual data entry can be. Azure AI Document Intelligence (formerly Azure Form Recognizer) solves this problem by using pre-trained AI models to extract text, key-value pairs, tables, and structured fields from documents — with just a few lines of C# code. In this Azure AI Document Intelligence C# tutorial, you'll learn how to set up the service, analyze documents using prebuilt and custom models, and handle real-world extraction scenarios. Whether you're automating invoice processing, digitizing paper forms, or building an intelligent document pipeline, this guide covers everything you need to get started. Wha...