Azure Cognitive Search is a search service in Azure that gives you as a developer the tools for building search experiences over private data in your enterprise, web and mobile applications.
Common use cases for search can include any scenario that surfaces text to users, such as searching a product catalog, or searching documents within your organization. Azure Search provides you with a bunch of cool capabilities, including:
Full text and vector search over search indexes containing your content. Indexing, with optional AI enhancement for extracting and transforming your content. Query syntax for text search, autocomplete, geo-search, vector queries and more. Access to search via SDKs and REST APIs Integration with Azure AI services. In this article, I’ll cover what Azure Cognitive Search is, what components make up Azure Search, and where it can fit within your architecture. We’ll then create a Cognitive Search service using Bicep along with a storage account that we will pull our data from into the index. Once that’s deployed, we’ll start to work with our Cognitive Search service using C#, creating our data source for our indexer, creating the index and then querying our index with some simple queries.
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