Merge pull request #264189 from HeidiSteen/heidist-docs

[azure search] Refreshed sample links

Author: v-regandowner

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) |