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Showing posts with the label Azure.Search.Documents tutorial

Azure AI Search with C# Tutorial: Build Smart Search (2026)

Learn Azure AI Search with C# step by step: create an index, upload documents, run full-text, semantic and vector search with the .NET SDK. Start building today. If your application still relies on WHERE Name LIKE '%term%' for search, your users are getting a worse experience than they deserve. Azure AI Search with C# (formerly Azure Cognitive Search) gives you a fully managed search engine that handles full-text ranking, typo tolerance, faceting, semantic re-ranking and vector similarity — all accessible from .NET through the Azure.Search.Documents SDK. In this tutorial you will build a working product search from scratch: create an index, upload documents, run keyword queries, add filters and facets, and finish with hybrid vector search that powers modern RAG (Retrieval-Augmented Generation) applications. Everything here runs on .NET 8/9 with the current stable SDK, and every code sample is complete enough to paste into a console app and run. What Is Azure AI Searc...