As an example of how to do this with the REST API, to get the schema you can simply do a GET request on the index.


UPDATE: Eugene Shvets, who is working on the Azure Search team, informed me that you only need to have a column with the same name as index’s key field. The 2 indexers above take the same Search Index. More regions coming soon!

To take advantage of Cognitive Search you need to create Azure Search service in South-Central US or in West Europe. Creating Intelligent Search Index. Create or edit an Azure Search index of the Pages type in the Smart search application. Allows you to add search facility to both existing and new application either Line of Business application, public facing websites or mobile applications using REST API or .NET SDK.

Therefore creating a new view or altering the existing view isn’t required for this example. You can also take this result as-is and then do a PUT or POST to create the index with this result in the body. An index is like a database that holds your data and can accept search queries. Switch to the Cultures tab and select which language versions of the website's pages are indexed. I've created a small console application like in the [previous post] to create and populate our Search Index.

You define the index schema to map to the structure of the documents you wish to search, similar to fields in a database.

We can again use the command line for this: dotnet add package Microsoft.Azure.Search Open the program.cs file and add the following method: The index constructor is fairly basic. When you go through the "import data" flow in the portal, it'll create a data source, indexer and index for you. If you want more sources for that index, you need to create new data sources and indexers, with the new indexers pointing at the existing index. Open the Sites tab and assign the websites whose content you wish to index.
Azure Cognitive Search is a fully managed Azure Cloud service that offers rich full-text indexing and search. This is what makes the whole thing work! We output results directly to your search index. Before creating index on Azure Search we have to do some analysis to find out what we want to index and how we plan to use those indexes. We then need to add the necessary Azure Search NuGet package. An index is a persistent store of documents and other constructs used by an Azure Search service. To create search index powered by cognitive services you need to use ‘import data’ flow. Populating the Search Service.