more semantic ranker fixes

Author: HeidiSteen

articles/search/includes/quickstarts/dotnet-semantic.md

@@ -115,7 +115,7 @@ Azure AI Search searches over content stored in the service. The code for upload
 
 #### Search an index
 
-Here's a query that invokes semantic ranking, with search options for specifying parameters:
+Here's a query that invokes semantic ranker, with search options for specifying parameters:
 
 ```csharp
 Console.WriteLine("Example of a semantic query.");

articles/search/includes/quickstarts/python-semantic.md

@@ -285,7 +285,7 @@ for result in results:
 
 In this final query, return semantic answers.
 
-Semantic ranking can generate answers to a query string that has the characteristics of a question. The generated answer is extracted verbatim from your content. To get a semantic answer, the question and answer must be closely aligned, and the model must find content that clearly answers the question. If potential answers fail to meet a confidence threshold, the model doesn't return an answer. For demonstration purposes, the question in this example is designed to get a response so that you can see the syntax.
+Semantic ranker can generate answers to a query string that has the characteristics of a question. The generated answer is extracted verbatim from your content. To get a semantic answer, the question and answer must be closely aligned, and the model must find content that clearly answers the question. If potential answers fail to meet a confidence threshold, the model doesn't return an answer. For demonstration purposes, the question in this example is designed to get a response so that you can see the syntax.
 
 ```python
 # Run a semantic query that returns semantic answers  

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

@@ -17,7 +17,7 @@ This quickstart shows you how to send queries to a Large Language Model (LLM) fo
 
 - An Azure subscription. [Create one for free](https://azure.microsoft.com/free/).
 
-- [Azure AI Search](search-create-service-portal.md), Basic tier or higher so that you can [enable semantic ranking](semantic-how-to-enable-disable.md). Region must be the same one used for Azure OpenAI.
+- [Azure AI Search](search-create-service-portal.md), Basic tier or higher so that you can [enable semantic ranker](semantic-how-to-enable-disable.md). Region must be the same one used for Azure OpenAI.
 
 - [Azure OpenAI](https://aka.ms/oai/access) resource with a deployment of `gpt-35-turbo`, `gpt-4`, or equivalent model, in the same region as Azure AI Search.
 
@@ -124,7 +124,7 @@ We recommend the hotels-sample-index, which can be created in minutes and runs o
 
 1. Run the following query in [Search Explorer](search-explorer.md) to test your index: `hotels near the ocean with beach access and good views`.
 
-   Output should look similar to the following example. Results that are returned directly from the search engine consist of fields and their verbatim values, along with metadata like a search score and a semantic ranking score and caption if you use semantic ranking.
+   Output should look similar to the following example. Results that are returned directly from the search engine consist of fields and their verbatim values, along with metadata like a search score and a semantic ranking score and caption if you use semantic ranker.
 
    ```
       "@search.score": 5.600783,
@@ -183,7 +183,7 @@ This section uses Visual Studio Code and Python to call the chat completion APIs
     AZURE_DEPLOYMENT_MODEL: str = "gpt-35-turbo"
    ```
 
-1. Run the following code to set query parameters. The query is a keyword search using semantic ranking. In a keyword search, the search engine returns up to 50 matches, but only the top 5 are provided to the model. If you can't [enable semantic ranking](semantic-how-to-enable-disable.md) on your search service, set the value to false.
+1. Run the following code to set query parameters. The query is a keyword search using semantic ranking. In a keyword search, the search engine returns up to 50 matches, but only the top 5 are provided to the model. If you can't [enable semantic rankersemantic-how-to-enable-disable.md) on your search service, set the value to false.
 
    ```python
    # Set query parameters for grounding the conversation on your search index

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

@@ -1,7 +1,7 @@
 ---
 title: 'Quickstart: semantic ranking'
 titleSuffix: Azure AI Search
-description: Change an existing index to use semantic ranking.
+description: Change an existing index to use semantic ranker.
 author: HeidiSteen
 manager: nitinme
 ms.author: heidist
@@ -16,9 +16,9 @@ ms.date: 03/11/2024
 
 # Quickstart: Semantic ranking with .NET or Python
 
-In Azure AI Search, [semantic ranking](semantic-search-overview.md) is query-side functionality that uses machine reading comprehension from Microsoft to rescore search results, promoting the most semantically relevant matches to the top of the list. Depending on the content and the query, semantic ranking can [significantly improve search relevance](https://techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-outperforming-vector-search-with-hybrid/ba-p/3929167), with minimal work for the developer.
+In Azure AI Search, [semantic ranker](semantic-search-overview.md) is query-side functionality that uses machine reading comprehension from Microsoft to rescore search results, promoting the most semantically relevant matches to the top of the list. Depending on the content and the query, semantic ranking can [significantly improve search relevance](https://techcommunity.microsoft.com/t5/azure-ai-services-blog/azure-cognitive-search-outperforming-vector-search-with-hybrid/ba-p/3929167), with minimal work for the developer.
 
-This quickstart walks you through the index and query modifications that invoke semantic ranking.
+This quickstart walks you through the index and query modifications that invoke semantic ranker.
 
 > [!NOTE]
 > Looking for an Azure AI Search solution with ChatGPT interaction? See [this demo](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main/README.md) or [this accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator) for details.
@@ -27,7 +27,7 @@ This quickstart walks you through the index and query modifications that invoke
 
 + An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/).
 
-+ Azure AI Search, at Basic tier or higher, with [semantic ranking enabled](semantic-how-to-enable-disable.md).
++ Azure AI Search, at Basic tier or higher, with [semantic ranker enabled](semantic-how-to-enable-disable.md).
 
 + An API key and search service endpoint. Sign in to the [Azure portal](https://portal.azure.com) and [find your search service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices).
 
@@ -39,11 +39,11 @@ This quickstart walks you through the index and query modifications that invoke
 
 ## Add semantic ranking
 
-To use semantic ranking, add a *semantic configuration* to a search index, and add parameters to a query. If you have an existing index, you can make these changes without having to reindex your content because there's no impact on the structure of your searchable content.
+To use semantic ranker, add a *semantic configuration* to a search index, and add parameters to a query. If you have an existing index, you can make these changes without having to reindex your content because there's no impact on the structure of your searchable content.
 
 + A semantic configuration sets a priority order for fields that contribute a title, keywords, and content used in semantic reranking. Field prioritization allows for faster processing.
 
-+ Queries that invoke semantic ranking include parameters for query type and whether captions and answers are returned. You can add these parameters to your existing query logic. There's no conflict with other parameters.
++ Queries that invoke semantic ranker include parameters for query type and whether captions and answers are returned. You can add these parameters to your existing query logic. There's no conflict with other parameters.
 
 ### [**.NET**](#tab/dotnet)
 
@@ -63,7 +63,7 @@ You can find and manage resources in the portal, using the **All resources** or
 
 ## Next steps
 
-In this quickstart, you learned how to invoke semantic ranking on an existing index. We recommend trying semantic ranking on your own indexes as a next step. However, if you want to continue with demos, visit the following link.
+In this quickstart, you learned how to invoke semantic ranker on an existing index. We recommend trying semantic ranker on your own indexes as a next step. However, if you want to continue with demos, visit the following link.
 
 > [!div class="nextstepaction"]
 > [Tutorial: Add search to web apps](tutorial-csharp-overview.md)

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

@@ -30,7 +30,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
   Most existing services support vector search. For a small subset of services created prior to January 2019, an index that contains vector fields fails on creation. In this situation, a new service must be created.
 
-- Optionally, to run the query example that invokes [semantic reranking](semantic-search-overview.md), your search service must be the Basic tier or higher, with [semantic ranking enabled](semantic-how-to-enable-disable.md).
+- Optionally, to run the query example that invokes [semantic reranking](semantic-search-overview.md), your search service must be the Basic tier or higher, with [semantic ranker enabled](semantic-how-to-enable-disable.md).
 
 - 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 pregenerated embeddings so that you can omit this dependency.
 

articles/search/search-pagination-page-layout.md

@@ -165,7 +165,7 @@ For either algorithm, a "@search.score" equal to 1.00 indicates an unscored or u
 
 ### Order by the semantic reranker
 
-If you're using [semantic ranking](semantic-search-overview.md), the "@search.rerankerScore" determines the sort order of your results. 
+If you're using [semantic ranker](semantic-search-overview.md), the "@search.rerankerScore" determines the sort order of your results. 
 
 The "@search.rerankerScore" range is 1 to 4.00, where a higher score indicates a stronger semantic match.
 

articles/search/search-region-support.md

@@ -27,30 +27,15 @@ This article identifies the cloud regions in which Azure AI Search is available.
 | [Azure OpenAI integration](vector-search-integrated-vectorization.md)  | Refers to skills and vectorizers that make internal calls to deployed embedding and chat models on Azure OpenAI. Check [Azure OpenAI model region availability](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) for the most current list of regions for each embedding and chat model. Specific Azure OpenAI models are in fewer regions, so be sure to check for joint regional availability before installing.|
 | [Azure AI Studio integration](vector-search-integrated-vectorization-ai-studio.md) | Refers to skills and vectorizers that make internal calls to the models hosted in the model catalog. Check [Azure AI Studio region availability](/azure/ai-studio/reference/region-support) for the most current list of regions. |
 | [Azure AI Vision 4.0 multimodal APIs for image vectorization](search-get-started-portal-image-search.md) | Refers to skills and vectorizers that call the multimodal embedding API. Check the [Azure AI Vision region list](/azure/ai-services/computer-vision/overview-image-analysis#region-availability) for joint regional availability. |
-| [Semantic ranking](semantic-search-overview.md) | Takes a dependency on Microsoft-hosted models in specific regions. Regional support is noted in this article. |
-
-<!-- Each cloud region noted in this article includes a column indicating support for the following features.
-
-- [Semantic ranking](semantic-search-overview.md) depends on models hosted in specific regions.
-- [AI enrichment](cognitive-search-concept-intro.md) refers to skills and vectorizers that make internal calls to Azure AI and Azure OpenAI. Integration requires that Azure AI Search coexist with an [Azure AI multi-service account](/azure/ai-services/multi-service-resource) in the same physical region.
-- [Availability zones](search-reliability.md#availability-zone-support) are an Azure platform capability that divides a region's data centers into distinct physical location groups to provide high-availability, within the same region.
-
-We recommend that you check [Azure AI Studio region availability](/azure/ai-studio/reference/region-support) and [Azure OpenAI model region availability](/azure/reliability/availability-zones-service-support#azure-regions-with-availability-zone-support) for the most current list of regions for those features. 
-
-Also, if you plan to use Azure AI Vision 4.0 multimodal APIs for image vectorization, it's available in a reduced list of regions. [Check the Azure AI Vision region list for multimodal embeddings](/azure/ai-services/computer-vision/overview-image-analysis#region-availability) and be sure to create both your Azure AI multi-service account and Azure AI Search service in one of those supported regions.
-
-> [!NOTE]
-> Higher capacity partitions became available in selected regions starting in April 2024. A second wave of higher capacity partitions released in May 2024. Currently, there are just a few regions that *don't* offer higher capacity patitions, and those are indicated in footnotes.
->
-> If you're using an older search service, consider creating a new search service in a supported region to benefit from more capacity at the same billing rate as before. For more information, see [Service limits](search-limits-quotas-capacity.md#service-limits) and [How to check service creation date](vector-search-index-size.md#how-to-check-service-creation-date). -->
+| [Semantic ranker](semantic-search-overview.md) | Takes a dependency on Microsoft-hosted models in specific regions. Regional support is noted in this article. |
 
 ## Azure Public regions
 
 You can create an Azure AI Search resource in any of the following Azure public regions. Almost all of these regions support [higher capacity tiers](search-limits-quotas-capacity.md#service-limits). Exceptions are noted where they apply.
 
 ### Americas
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | Brazil South​​ ​ | ✅ | ✅ | |
 | Canada Central​​ | ✅ | ✅ | ✅ |
@@ -71,7 +56,7 @@ You can create an Azure AI Search resource in any of the following Azure public
 
 ### Europe
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | North Europe​​ | ✅ | ✅ | ✅ |
 | West Europe​​ <sup>1, 2</sup>| ✅ | ✅ | ✅ |
@@ -93,7 +78,7 @@ You can create an Azure AI Search resource in any of the following Azure public
 
 ### Middle East
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | Israel Central​ <sup>2</sup> |  |  | ✅  |
 | Qatar Central​ <sup>1, 2</sup> |  |  | ✅ |
@@ -105,13 +90,13 @@ You can create an Azure AI Search resource in any of the following Azure public
 
 ### Africa
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | South Africa North​ | ✅ |  | ✅ |
 
 ### Asia Pacific
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | Australia East​ ​ | ✅ | ✅ | ✅ |
 | Australia Southeast​​​ |  | ✅ |  |
@@ -131,7 +116,7 @@ You can create an Azure AI Search resource in any of the following Azure public
 
 ## Azure Government regions
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | Arizona | ✅ | ✅  | |
 | Texas |  |  |  |
@@ -141,7 +126,7 @@ You can create an Azure AI Search resource in any of the following Azure public
 
 ## Azure operated by 21Vianet
 
-| Region | AI integration | Semantic ranking | Availability zones |
+| Region | AI integration | Semantic ranker | Availability zones |
 |--|--|--|--|
 | China East |  |  |  |
 | China East 2 <sup>1</sup> | ✅  | | |

articles/search/semantic-answers.md

@@ -128,7 +128,7 @@ Within @search.answers:
 
 + **"score"** is a confidence score that reflects the strength of the answer. If there are multiple answers in the response, this score is used to determine the order. Top answers and top captions can be derived from different search documents, where the top answer originates from one document, and the top caption from another, but in general the same documents appear in the top positions within each array.
 
-Answers are followed by the **"value"** array, which always includes scores, captions, and any fields that are retrievable by default. If you specified the select parameter, the "value" array is limited to the fields that you specified. See [Configure semantic ranking](semantic-how-to-configure.md) for details.
+Answers are followed by the **"value"** array, which always includes scores, captions, and any fields that are retrievable by default. If you specified the select parameter, the "value" array is limited to the fields that you specified. See [Configure semantic ranker](semantic-how-to-configure.md) for details.
 
 ## Tips for producing high-quality answers
 
@@ -144,4 +144,4 @@ For best results, return semantic answers on a document corpus having the follow
 
 + [Semantic ranking overview](semantic-search-overview.md)
 + [Configure BM25 ranking](index-ranking-similarity.md)
-+ [Configure semantic ranking](semantic-how-to-configure.md)
++ [Configure semantic ranker](semantic-how-to-configure.md)

articles/search/semantic-how-to-configure.md

@@ -13,7 +13,7 @@ ms.topic: how-to
 ms.date: 08/05/2024
 ---
 
-# Configure semantic ranking and return captions in search results
+# Configure semantic ranker and return captions in search results
 
 This article explains how to configure a search index for semantic reranking.