Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into stripeUpdate

Author: roygara

articles/api-center/use-vscode-extension-copilot.md

@@ -51,7 +51,7 @@ Your API center resources appear in the tree view on the left-hand side. Expand
 
 ## Search for APIs using GitHub Copilot Chat
 
-Use GitHub Copilot Chat to find APIs in your APIs based on semantic search queries. 
+Use GitHub Copilot Chat to search for APIs and API definitions based on semantic search queries. 
 
 1. In Visual Studio Code, in the Activity Bar, select GitHub Copilot Chat.
 1. Type `@apicenter /` to see available commands:
@@ -64,4 +64,4 @@ Use GitHub Copilot Chat to find APIs in your APIs based on semantic search queri
 
 * [Azure API Center - key concepts](key-concepts.md)
 * [Get started with the Azure API Center extension for Visual Studio Code](use-vscode-extension.md)
-* [Getting started with GitHub Copilot](https://docs.github.com/copilot/using-github-copilot/getting-started-with-github-copilot)
+* [Getting started with GitHub Copilot](https://docs.github.com/copilot/using-github-copilot/getting-started-with-github-copilot)

articles/azure-resource-manager/bicep/bicep-functions-lambda.md

@@ -3,7 +3,7 @@ title: Bicep functions - lambda
 description: Describes the lambda functions to use in a Bicep file.
 ms.topic: conceptual
 ms.custom: devx-track-bicep
-ms.date: 11/03/2023
+ms.date: 01/25/2024
 ---
 # Lambda functions for Bicep
 
@@ -176,7 +176,7 @@ Namespace: [sys](bicep-functions.md#namespaces-for-functions).
 | Parameter | Required | Type | Description |
 |:--- |:--- |:--- |:--- |
 | inputArray |Yes |array |The array to reduce.|
-| initialValue |No |any |Initial value.|
+| initialValue |Yes |any |Initial value.|
 | lambda expression |Yes |expression |The lambda expression used to aggregate the current value and the next value.|
 
 ### Return value

articles/azure-resource-manager/templates/template-functions-lambda.md

@@ -3,7 +3,7 @@ title: Template functions - lambda
 description: Describes the lambda functions to use in an Azure Resource Manager template (ARM template)
 ms.topic: conceptual
 ms.custom: devx-track-arm-template
-ms.date: 06/22/2023
+ms.date: 01/25/2024
 ---
 
 # Lambda functions for ARM templates
@@ -240,7 +240,7 @@ In Bicep, use the [reduce](../bicep/bicep-functions-lambda.md#reduce) function.
 | Parameter | Required | Type | Description |
 |:--- |:--- |:--- |:--- |
 | inputArray |Yes |array |The array to reduce.|
-| initialValue |No |any |Initial value.|
+| initialValue |Yes |any |Initial value.|
 | lambda function |Yes |expression |The lambda function used to aggregate the current value and the next value.|
 
 ### Return value

articles/operator-nexus/includes/l3-isolation-domain.md

@@ -24,6 +24,9 @@ Create an `internalnetwork` resource for every VLAN or subnet that you need to i
 > [!NOTE]
 > The following example uses the minimal configuration for creating a valid internal network. It doesn't show optional parameters.
 
+> [!WARNING]
+> Using the same CIDRs in multiple L3 isolation domains to create networks leads to IP overlaps and routing issues in Nexus Kubernetes deployments.
+
 ```azurecli
   az networkfabric internalnetwork create \
     --resource-name "<L3IsolationDomainInternalNetworkName>" \

articles/search/hybrid-search-how-to-query.md

@@ -42,7 +42,7 @@ A hybrid query combines full text search and vector search, where the `"search"`
 
 Hybrid queries are useful because they add support for all query capabilities, including orderby and [semantic ranking](semantic-how-to-query-request.md). For example, in addition to the vector query, you could search over people or product names or titles, scenarios for which similarity search isn't a good fit.
 
-The following example is from the [Postman collection of REST APIs](https://github.com/Azure/cognitive-search-vector-pr/tree/main/demo-python) that demonstrate hybrid query configurations.
+The following example is from the [Postman collection of REST APIs](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python) that demonstrate hybrid query configurations.
 
 ```http
 POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2023-11-01
@@ -257,4 +257,4 @@ In this section, compare the responses between single vector search and simple h
 
 ## Next steps
 
-As a next step, we recommend reviewing the demo code for [Python](https://github.com/Azure/cognitive-search-vector-pr/tree/main/demo-python), [C#](https://github.com/Azure/cognitive-search-vector-pr/tree/main/demo-dotnet) or [JavaScript](https://github.com/Azure/cognitive-search-vector-pr/tree/main/demo-javascript).
+As a next step, we recommend reviewing the demo code for [Python](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python), [C#](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet) or [JavaScript](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript).

articles/search/samples-dotnet.md

@@ -11,7 +11,7 @@ ms.custom:
   - devx-track-dotnet
   - ignite-2023
 ms.topic: conceptual
-ms.date: 08/02/2023
+ms.date: 01/25/2024
 ---
 
 # C# samples for Azure AI Search
@@ -38,7 +38,8 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 | [FieldBuilderIgnore](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample04_FieldBuilderIgnore.md) | Demonstrates a technique for working with unsupported data types.  |
 | [Indexing documents (push model)](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample05_IndexingDocuments.md) | "Push" model indexing, where you send a JSON payload to an index on a service.   |
 | [Encryption key sample](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample06_EncryptedIndex.md) | Demonstrates using a customer-managed encryption key to add an extra layer of protection over sensitive content.  |
-| [Vector search sample](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch.md) | Shows you how to index a vector field and perform vector search using the Azure SDK for .NET. Vector search is in preview. |
+| [Vector search sample](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch.md) | Shows you how to index a vector field and perform vector search using the Azure SDK for .NET. |
+| [Semantic ranking sample](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/samples/Sample08_SemanticSearch.md) | Shows you how to configure semantic ranking in an index and invoke semantic queries using the Azure SDK for .NET. |
 
 ## Doc samples
 
@@ -49,16 +50,19 @@ Code samples from the Azure AI Search team demonstrate features and workflows. A
 
 | Code sample | Related article  | Purpose |
 |-------------|------------------|---------|
+| [create-mvc-app](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/create-mvc-app) |  [Tutorial: Add search to an ASP.NET Core (MVC) app](tutorial-csharp-create-mvc-app.md) | While most samples are console applications, this MVC sample uses a web page to front the sample Hotels index, demonstrating basic search, pagination, and other server-side behaviors.|
 | [quickstart](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/quickstart/v11) | [Quickstart: Full text search using the Azure SDKs](search-get-started-text.md) | Covers the basic workflow for creating, loading, and querying a search index in C# using sample data. |
+| [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/blob/main/quickstart-semantic-search/) | [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md) | Shows the index schema and query request for invoking semantic ranking. |
 | [search-website](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/search-website-functions-v4) | [Tutorial: Add search to web apps](tutorial-csharp-overview.md) | Demonstrates an end-to-end search app that includes a rich client plus components for hosting the app and handling search requests.|
+| [tutorial-ai-enrichment](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/tutorial-ai-enrichment)  | [Tutorial: AI-generated searchable content from Azure blobs](cognitive-search-tutorial-blob-dotnet.md) | Shows how to configure an indexer and skillset. |
+| [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources)  | [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md). | Merges content from two data sources into one search index.
+| [Optimize-data-indexing](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/optimize-data-indexing) | [Tutorial: Optimize indexing with the push API](tutorial-optimize-indexing-push-api.md).| Demonstrates optimization techniques for pushing data into a search index. |
 | [DotNetHowTo](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowTo)  | [How to use the .NET client library](search-howto-dotnet-sdk.md) | Steps through the basic workflow, but in more detail and with discussion of API usage.  |
 | [DotNetHowToSynonyms](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToSynonyms)  | [Example: Add synonyms in C#](search-synonyms-tutorial-sdk.md) | Synonym lists are used for query expansion, providing matchable  terms that are external to an index. |
 | [DotNetToIndexers](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToIndexers) | [Tutorial: Index Azure SQL data](search-indexer-tutorial.md) | Shows how to configure an Azure SQL indexer that has a schedule, field mappings, and parameters.  |
 | [DotNetHowToEncryptionUsingCMK](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToEncryptionUsingCMK)  | [How to configure customer-managed keys for data encryption](search-security-manage-encryption-keys.md) | Shows how to create objects that are encrypted with a Customer Key. |
-| [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources)  | [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md). | Merges content from two data sources into one search index.
-| [Optimize-data-indexing](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/optimize-data-indexing) | [Tutorial: Optimize indexing with the push API](tutorial-optimize-indexing-push-api.md).| Demonstrates optimization techniques for pushing data into a search index. |
-| [tutorial-ai-enrichment](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/tutorial-ai-enrichment)  | [Tutorial: AI-generated searchable content from Azure blobs](cognitive-search-tutorial-blob-dotnet.md) | Shows how to configure an indexer and skillset. |
-| [create-mvc-app](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/create-mvc-app) |  [Tutorial: Add search to an ASP.NET Core (MVC) app](tutorial-csharp-create-mvc-app.md) | While most samples are console applications, this MVC sample uses a web page to front the sample Hotels index, demonstrating basic search, pagination, and other server-side behaviors.|
+| [DotNetVectorDemo](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetVectorDemo)  | [readme](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetVectorDemo/readme.md) | Create, load, and query a vector store. |
+| [DotNetIntegratedVectorizationDemo](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetIntegratedVectorizationDemo)  | [readme](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-dotnet/DotNetIntegratedVectorizationDemo/readme.md) | Extends the vector workflow to include skills-based automation for data chunking and embedding. |
 
 ## Accelerators
 
@@ -84,7 +88,6 @@ The following samples are also published by the Azure AI Search team, but aren't
 
 | Samples | Repository | Description |
 |---------|------------|-------------|
-| [DotNetVectorDemo](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-dotnet/DotNetVectorDemo/readme.md)  | [azure-search-vector](https://github.com/Azure/cognitive-search-vector-pr) | Calls Azure OpenAI to generate embeddings and Azure AI Search to create, load, and query an index. |
 | [Query multiple services](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-search-services) |  [azure-search-dotnet-scale](https://github.com/Azure-Samples/azure-search-dotnet-samples) | Issue a single query across multiple search services and combine the results into a single page.  |
 | [Check storage](https://github.com/Azure-Samples/azure-search-dotnet-utilities/blob/main/check-storage-usage/README.md) | [azure-search-dotnet-utilities](https://github.com/Azure-Samples/azure-search-dotnet-utilities) | Invokes an Azure function that checks search service storage on a schedule. |
 | [Export an index](https://github.com/Azure-Samples/azure-search-dotnet-utilities/blob/main/export-data/README.md) | [azure-search-dotnet-utilities](https://github.com/Azure-Samples/azure-search-dotnet-utilities) | C# console app that partitions and export a large index. |

articles/search/samples-java.md

@@ -12,7 +12,7 @@ ms.custom:
   - devx-track-extended-java
   - ignite-2023
 ms.topic: conceptual
-ms.date: 07/27/2023
+ms.date: 01/25/2024
 ---
 
 # Java samples for Azure AI Search

articles/search/samples-javascript.md

@@ -12,7 +12,7 @@ ms.custom:
   - devx-track-js
   - ignite-2023
 ms.topic: conceptual
-ms.date: 08/01/2023
+ms.date: 01/25/2024
 ---
 
 # JavaScript samples for Azure AI Search
@@ -39,7 +39,7 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 | [indexers](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) |  Demonstrates how to create, update, get, list, reset, and delete [indexers](search-indexer-overview.md).|
 | [skillSet](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) |   Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached indexers, and that perform AI-based enrichment during indexing. |
 | [synonymMaps](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, and delete [synonym maps](search-synonyms.md).  |
-| [VectorSearch](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v12-beta/javascript/vectorSearch.js) | Demonstrates how to generate vectors and send a [vector query](vector-search-how-to-query.md).  |
+| [VectorSearch](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v12-beta/javascript/vectorSearch.js) | Demonstrates how to index vectors and send a [vector query](vector-search-how-to-query.md).  |
 
 ### TypeScript samples
 
@@ -50,6 +50,7 @@ Code samples from the Azure SDK development team demonstrate API usage. You can
 | [indexers](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/typescript/src) |  Demonstrates how to create, update, get, list, reset, and delete [indexers](search-indexer-overview.md).|
 | [skillSet](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/skillSetOperations.ts) |   Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached indexers, and that perform AI-based enrichment during indexing. |
 | [synonymMaps](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/synonymMapOperations.ts) | Demonstrates how to create, update, get, list, and delete [synonym maps](search-synonyms.md).  |
+| [VectorSearch](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v12/typescript/src/vectorSearch.ts) | Demonstrates how to index vectors and send a [vector query](vector-search-how-to-query.md).  |
 
 ## Doc samples
 
@@ -69,5 +70,5 @@ The following samples are also published by the Azure AI Search team, but aren't
 
 | Samples | Description |
 |---------|-------------|
-| [azure-search-vector-sample.js](https://github.com/Azure/cognitive-search-vector-pr/tree/main/demo-javascript)  | Vector search sample using the Azure SDK for JavaScript |
+| [azure-search-vector-sample.js](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript/JavaScriptVectorDemo)  | Vector search sample using the Azure SDK for JavaScript |
 | [azure-search-react-template](https://github.com/dereklegenzoff/azure-search-react-template) | React template for Azure AI Search (github.com) |