Updates from feedback

Author: diberry

quickstart-semantic-ranking-js/README.md

@@ -1,8 +1,8 @@
 # Azure AI Search Semantic Ranking Quickstart - JavaScript
 
-This JavaScript sample demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. This is a JavaScript version of the [official Python quickstart](https://learn.microsoft.com/en-us/azure/search/search-get-started-semantic).
+This JavaScript sample demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. This is a JavaScript version of the [quickstart](https://learn.microsoft.com/azure/search/search-get-started-semantic).
 
-The sample has been refactored into a modular structure, with separate files for different operations.
+The sample has been factored into a modular structure, with separate files for different operations.
 
 ## What is Semantic Ranking?
 
@@ -28,8 +28,7 @@ Semantic ranking uses machine reading comprehension from Microsoft to rescore se
    - Update the values with your Azure AI Search service details:
      ```
      SEARCH_ENDPOINT=https://your-service-name.search.windows.net
-     SEARCH_API_KEY=your-admin-api-key
-     INDEX_NAME=hotels-quickstart
+     INDEX_NAME=hotels-sample-index
      ```
 
 4. **Get your search service endpoint and API key**

quickstart-semantic-ranking-js/sample.env

@@ -1,3 +1,5 @@
 # Azure AI Search Service Configuration
 SEARCH_ENDPOINT=PUT-YOUR-SEARCH-SERVICE-ENDPOINT-HERE
-INDEX_NAME=hotels-quickstart
+INDEX_NAME=hotels-sample-index
+SEMANTIC_CONFIGURATION_NAME=semantic-config
+

quickstart-semantic-ranking-ts/README.md

@@ -1,8 +1,8 @@
 # Azure AI Search Semantic Ranking Quickstart - TypeScript
 
-This TypeScript sample demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. This is a TypeScript port of the [official Python quickstart](https://learn.microsoft.com/en-us/azure/search/search-get-started-semantic).
+This TypeScript sample demonstrates how to use semantic ranking in Azure AI Search to improve search relevance using machine reading comprehension. This is a TypeScript port of the [quickstart](https://learn.microsoft.com/azure/search/search-get-started-semantic).
 
-The sample has been refactored into a modular structure, similar to the vector search quickstart, with separate files for different operations.
+The sample has been factored into a modular structure, similar to the vector search quickstart, with separate files for different operations.
 
 ## What is Semantic Ranking?
 
@@ -29,8 +29,7 @@ Semantic ranking uses machine reading comprehension from Microsoft to rescore se
    - Update the values with your Azure AI Search service details:
      ```
      SEARCH_ENDPOINT=https://your-service-name.search.windows.net
-     SEARCH_API_KEY=your-admin-api-key
-     INDEX_NAME=hotels-quickstart
+     INDEX_NAME=hotels-sample-index
      ```
 
 4. **Get your search service endpoint and API key**
@@ -209,10 +208,10 @@ const semanticConfig = {
 
 ## Learn More
 
-- [Azure AI Search Semantic Ranking Documentation](https://learn.microsoft.com/en-us/azure/search/semantic-search-overview)
-- [Original Python Quickstart](https://learn.microsoft.com/en-us/azure/search/search-get-started-semantic)
-- [Azure SDK for JavaScript Documentation](https://docs.microsoft.com/en-us/javascript/api/@azure/search-documents/)
-- [Semantic Search Best Practices](https://learn.microsoft.com/en-us/azure/search/semantic-how-to-query-request)
+- [Azure AI Search Semantic Ranking Documentation](https://learn.microsoft.com/azure/search/semantic-search-overview)
+- [Original Python Quickstart](https://learn.microsoft.com/azure/search/search-get-started-semantic)
+- [Azure SDK for JavaScript Documentation](https://docs.microsoft.com/javascript/api/@azure/search-documents/)
+- [Semantic Search Best Practices](https://learn.microsoft.com/azure/search/semantic-how-to-query-request)
 
 ## Troubleshooting
 

quickstart-semantic-ranking-ts/sample.env

@@ -1,3 +1,4 @@
 # Azure AI Search Service Configuration
 SEARCH_ENDPOINT=PUT-YOUR-SEARCH-SERVICE-ENDPOINT-HERE
-INDEX_NAME=hotels-quickstart
+INDEX_NAME=hotels-sample-index
+SEMANTIC_CONFIGURATION_NAME=semantic-config