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C# samples for Azure AI Search fundamentals

This repository contains C# code samples used in Azure AI Search "Day One" quickstarts and tutorials. Unless noted otherwise, all samples run on the shared (free) pricing tier of an Azure AI Search service.

In this repository

Sample Description
create-mvc-app This ASP.NET Core MVC sample demonstrates server-side search behaviors, such as filters and sorting.
quickstart Learn the fundamental tasks of working with a search index: create, load, and query for full text search scenarios. This quickstart is a console application. The index is modeled on a subset of the Hotels dataset, widely used in Azure AI Search samples, but reduced to just four hotels for readability and comprehension.
quickstart-semantic-search Adds semantic search to the previous quickstart.
tutorial-ai-enrichment This console app creates an AI enrichment pipeline consisting of an index, indexer, data source, and skillset. The skillset calls Azure AI Services image analysis and OCR, and natural language processing, extract information and structure from heterogeneous blob content, making it searchable in Azure AI Search.

Previously in this repository

The following samples are relocated to new repositories that align content to specific categories.

Sample New location
tutorial-search-website-functions-v4 azure-search-static-web-app
check-storage-usage azure-search-dotnet-utilities/check-storage-usage
data-lake-gen2-acl-indexing azure-search-dotnet-utilities/data-lake-gen2-acl-indexing
export-data azure-search-dotnet-utilities/export-data
index-backup-restore azure-search-dotnet-utilities/index-backup-restore
search-aggregations azure-search-dotnet-utilities/search-aggregations
multiple-data-sources azure-search-dotnet-scale/multiple-data-sources
multiple-search-services azure-search-dotnet-scale/multiple-search-services
optimize-data-indexing azure-search-dotnet-scale/optimize-data-indexing

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