Merge pull request #4205 from HeidiSteen/heidist-freshness

Power app freshness pass

Author: prmerger-automator[bot]

articles/search/search-howto-powerapps.md

@@ -69,7 +69,11 @@ A connector in Power Apps is a data source connection. In this step, create a cu
 
    * Select the verb `GET`
 
-   * For the URL, enter a sample query for your search index (`search=*` returns all documents, `$select=` lets you choose fields). The API version is required. Fully specified, a URL might look like this: `mydemo.search.windows.net/indexes/hotels-sample-index/docs?search=*&$select=HotelName,Description,Address/City&api-version=2024-07-01`. Omit the `https://` prefix.
+   * For the URL, enter a sample query for your search index (`search=*` returns all documents, `$select=` lets you choose fields). The API version is required. Fully specified, a URL might look like the following example. Notice that the `https://` prefix is omitted.
+
+     ```http
+     mydemo.search.windows.net/indexes/hotels-sample-index/docs?search=*&$select=HotelName,Description,Address/City&api-version=2024-07-01
+     ```
 
    * For Headers, type `Content-Type application/json`.
 
@@ -137,7 +141,7 @@ A connector in Power Apps is a data source connection. In this step, create a cu
     ```
 
     > [!TIP] 
-    > There is a character limit to the JSON response you can enter, so you might want to simplify the JSON before pasting it. The schema and format of the response is more important than the values themselves. For example, the Description field could be simplified to just the first sentence.
+    > There's a character limit to the JSON response you can enter, so you might want to simplify the JSON before pasting it. The schema and format of the response is more important than the values themselves. For example, the Description field could be simplified to just the first sentence.
 
 1. Select **Import** to add the default response.
 
@@ -159,7 +163,7 @@ Provide a [query API key](search-security-api-keys.md#find-existing-keys) for th
 
     :::image type="content" source="./media/search-howto-powerapps/1-11-1-test-connector.png" alt-text="View Properties" border="true":::
 
-1. In the drop down list of operations, select **6. Test**.
+1. In the drop-down list of operations, select **6. Test**.
 
 1. In **Test Operation**, select **+ New Connection**.
 
@@ -171,6 +175,8 @@ Provide a [query API key](search-security-api-keys.md#find-existing-keys) for th
 
 If the test fails, recheck the inputs. In particular, revisit the sample response and make sure it was created properly. The connector definition should show the expected items for the response.
 
+If you're blocked by a Data Loss Prevention (DLP) policy error, review the error message for guidance. You might be able to modify the policy or make your connector nonblockable.
+
 ## 3 - Visualize results
 
 In this step, create a Power App with a search box, a search button, and a display area for the results. The Power App will connect to the recently created custom connector to get the data from Azure Search.

articles/search/whats-new.md

@@ -24,7 +24,7 @@ Learn about the latest updates to Azure AI Search functionality, docs, and sampl
 
 | Item                         | Type |  Description |
 |-----------------------------|------|--------------|
-| [RAG Time Journey](https://github.com/microsoft/rag-time) | Demo code | Code and video demonstrations of Retrieval Augmented Generation (RAG) workflows that use Azure AI Search. Segments include fundamentals, patterns and use-cases, [vector indexing at scale](https://github.com/microsoft/rag-time/tree/main/Journey%203%20-%20Optimize%20your%20Vector%20Index%20for%20Scale), and [agentic search](https://github.com/microsoft/rag-time/tree/main/Journey%20Bonus%20-%20Agentic%20RAG) where you use an agent to evaluate a result and generate a better answer. |
+| [RAG Time Journey](https://github.com/microsoft/rag-time) | Demo code | Code and video demonstrations of Retrieval Augmented Generation (RAG) workflows that use Azure AI Search. Segments include fundamentals, patterns and use-cases, [vector indexing at scale](https://github.com/microsoft/rag-time/tree/main/Journey%203%20-%20Optimize%20your%20Vector%20Index%20for%20Scale), and [agentic search](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/bonus-rag-time-journey-agentic-rag/4404652) where you use an agent to evaluate a result and generate a better answer. |
 
 ## March 2025