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Creating Azure B2C users using Graph API in .Net Core App

This article will help to understand Azure B2C user create operation using .net core application. Below are steps for application setup on Azure Portal Go to Azure Portal https://portal.azure.com/ From All Resources find Azure B2C. Go to App Registrations and register the new application. Create new client secret that we are going to use to

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Refresh datasource, reset and run indexer using .NET Core and RestSharp

In this article, we are going to demonstrate the steps to refresh the data source, reset and run indexer in an azure cognitive search using .Net Core and RestSharp. Since we are going to refresh the data source and the data source here we are referring to is

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AZURE COGNITIVE SEARCH: Autocomplete the search keyword through POSTMAN

AUTOCOMPLETE The Autocomplete API finishes a partially typed query input using existing terms in the search index for use in a secondary query Method: POST URL: https://[name of the search service].windows.net/indexes/[name of the index]/ autocomplete/search?api-version=[api version] Authorization: Type – API Key Vale- [Value of the Primary Key] Add to- Header Headers: Content-Type- “application/json” API-Key – [value of the api

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AZURE COGNITIVE SEARCH: Text Search through POSTMAN

Method: GET URL: https://[name of the search service].search.windows.net/indexes/[name of the index]/docs?api-version=[api version]&search=[search keyword] Authorization: Type – API Key Vale- [Value of the Primary Key] Add to- Header Headers: Content-Type- “application/json” API-Key – [value of the api key] Params: search- [search keyword] Body: Not required Response: 200 OK

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AZURE COGNTIVE SEARCH: Reset and Run Indexer

Creating an indexer adds it to your search service and runs it. If the request is successful, the index will be populated with searchable content from the data source. A reset might be required if the data source schema has changed, or if you are modifying the change detection policy.

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AZURE COGNITIVE SEARCH: Create Indexer through POSTMAN

Indexers use a predefined data source and index to establish an indexing pipeline that extracts and serializes source data, passing it to a search service for data ingestion. Method: POST URL: https://[name of the search service].search.windows.net/indexers?api-version=[api version] Authorization: Type – API Key Vale- [Value of the Primary Key] Add to- Header Headers: Content-Type- “application/json” API-Key – [value of the api key] Body: {  

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AZURE COGNITIVE SEARCH: Create Index through Postman

An index is the primary means of organizing and searching documents in Azure Cognitive Search, similar to how a table organizes records in a database. An index is defined by a schema and saved to the search service. Method: POST URL: https://[name of the search service].search.windows.net/indexes?api-version=[api version] Authorization: Type – API Key Vale- [Value of

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AZURE COGNITIVE SEARCH: Create Datasource through POSTMAN

To begin with Azure Cognitive Search, first we need to create an azure cognitive search service through portal and also keep the API Keys in hand as both the name of the search service and primary api key are required for every api calls through postman. Creating datasource is one

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AZURE COGNITIVE SEARCH: Apply Filtered Search through POSTMAN

In contrast with full text search, a filter value or expression only returns a strict match. Faceted navigation uses a filter to pass back the facet category selected by the user. The "select" parameter is used to specify which fields to include in a result set, effectively trimming the response before

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AZURE COGNITIVE SEARCH: Custom Search- Search Based on one particular field

When we search a particular text or keyword and want that keyword to be searched within the particular fields only, then we must mention the fields in the "searchFields" in the body. The list of comma-separated field names to search for the specified text. Target fields must be marked as

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