Added GH learn-how links

Author: HeidiSteen

articles/search/search-get-started-rest.md

@@ -9,17 +9,15 @@ ms.author: heidist
 ms.service: cognitive-search
 ms.topic: quickstart
 ms.devlang: rest-api
-ms.date: 03/06/2024
+ms.date: 03/14/2024
 ms.custom:
   - mode-api
   - ignite-2023
 ---
 
 # Quickstart: Text search using REST
 
-Learn how to use the [Search REST APIs](/rest/api/searchservice) to create, load, and query a search index in Azure AI Search. 
-
-[Download a REST sample](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) to send the requests in this quickstart, or create requests manually using the instructions in this article.
+The REST APIs in Azure AI Search provide programmatic access to all of its capabilities, including preview features, and they're an easy way to learn how features work. In this quickstart, call the [Search REST APIs](/rest/api/searchservice) to create, load, and query a search index in Azure AI Search. 
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
 
@@ -29,18 +27,22 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 + [Azure AI Search](search-what-is-azure-search.md). [Create](search-create-service-portal.md) or [find an existing Azure AI Search resource](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) under your current subscription. You can use a free service for this quickstart. 
 
-## Copy a key and URL
+## Download files
+
+[Download a REST sample](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) from GitHub to send the requests in this quickstart. [Learn how](https://docs.github.com/get-started/start-your-journey/downloading-files-from-github).
+
+Or, start a new file on your local system and create requests manually using the instructions in this article.
+
+## Copy a search service key and URL
 
 REST calls require the search service endpoint and an API key on every request. You can get these values from the Azure portal.
 
-1. Sign in to the [Azure portal](https://portal.azure.com), navigate to the **Overview** page, and copy the URL. An example endpoint might look like `https://mydemo.search.windows.net`.
+1. Sign in to the [Azure portal](https://portal.azure.com), navigate to the search service **Overview** page, and copy the URL. An example endpoint might look like `https://mydemo.search.windows.net`.
 
 1. Under **Settings** > **Keys**, copy an admin key. Admin keys are used to add, modify, and delete objects. There are two interchangeable admin keys. Copy either one.
 
    :::image type="content" source="media/search-get-started-rest/get-url-key.png" alt-text="Screenshot of the URL and API keys in the Azure portal.":::
 
-A valid API key establishes trust, on a per request basis, between the application sending the request and the search service handling it.
-
 ## Set up Visual Studio Code
 
 If you're not familiar with the REST client for Visual Studio Code, this section includes setup so that you can complete the tasks in this quickstart.
@@ -57,7 +59,7 @@ If you're not familiar with the REST client for Visual Studio Code, this section
 
    ```http
    @baseUrl = PUT-YOUR-SEARCH-SERVICE-ENDPOINT-HERE
-   @apiKey = PUT-YOUR-API-KEY-HERE
+   @apiKey = PUT-YOUR-SEARCH-SERVICE-API-KEY-HERE
     
     ### List existing indexes by name
     GET  {{baseUrl}}/indexes?api-version=2023-11-01&$select=name  HTTP/1.1

articles/search/search-get-started-vector.md

@@ -8,7 +8,7 @@ ms.service: cognitive-search
 ms.custom:
   - ignite-2023
 ms.topic: quickstart
-ms.date: 03/06/2024
+ms.date: 03/14/2024
 ---
 
 # Quickstart: Vector search using REST
@@ -17,8 +17,6 @@ Learn how to use the [Search REST APIs](/rest/api/searchservice) to create, load
 
 In Azure AI Search, a [*vector store*](vector-store.md) has an index schema that defines vector and nonvector fields, a vector configuration for algorithms that create the embedding space, and settings on vector field definitions that are used in query requests. The [Create Index](/rest/api/searchservice/indexes/create-or-update) API creates the vector store.
 
-[Download a REST sample](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) to send the requests in this quickstart, or create requests manually to adapt the instructions for your own data.
-
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
 
 > [!NOTE]
@@ -36,7 +34,13 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 + Optionally, an [Azure OpenAI](https://aka.ms/oai/access) resource with a deployment of **text-embedding-ada-002**. The source `.rest` file includes an optional step for generating new text embeddings, but we provide pre-generated embeddings so that you can omit this dependency.
 
-## Copy a key and URL
+## Download files
+
+[Download a REST sample](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) from GitHub to send the requests in this quickstart. [Learn how](https://docs.github.com/get-started/start-your-journey/downloading-files-from-github).
+
+Or, start a new file on your local system and create requests manually using the instructions in this article.
+
+## Copy a search service key and URL
 
 REST calls require the search service endpoint and an API key on every request. You can get these values from the Azure portal.
 
@@ -46,8 +50,6 @@ REST calls require the search service endpoint and an API key on every request.
 
    :::image type="content" source="media/search-get-started-rest/get-url-key.png" alt-text="Screenshot of the URL and API keys in the Azure portal.":::
 
-A valid API key establishes trust, on a per request basis, between the application sending the request and the search service handling it.
-
 ## Create a vector index
 
 [Create Index (REST)](/rest/api/searchservice/create-index) creates a vector index and sets up the physical data structures on your search service.