Merge pull request #264700 from HeidiSteen/heidist-fix

fix broken links

Author: prmerger-automator[bot]

articles/search/resource-tools.md

@@ -19,7 +19,7 @@ Productivity tools are built by engineers at Microsoft, but aren't part of the A
 | Tool name | Description | Source code |
 |-----------|------------ |-------------|
 | [Back up and Restore](https://github.com/liamca/azure-search-backup-restore/blob/master/README.md) | Download the retrievable fields of an index to your local device and then upload the index and its content to a new search service. | [https://github.com/liamca/azure-search-backup-restore](https://github.com/liamca/azure-search-backup-restore) |
-| [Chat with your data solution accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator/README.md) |  Code and docs to create interactive search solution in production environments.  | [https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator) |
+| [Chat with your data solution accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator/blob/main/README.md) |  Code and docs to create interactive search solution in production environments.  | [https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator](https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator) |
 | [Knowledge Mining Accelerator](https://github.com/Azure-Samples/azure-search-knowledge-mining/blob/main/README.md) | Code and docs to jump start a knowledge store using your data. | [https://github.com/Azure-Samples/azure-search-knowledge-mining](https://github.com/Azure-Samples/azure-search-knowledge-mining) |
 | [Performance testing solution](https://github.com/Azure-Samples/azure-search-performance-testing/blob/main/README.md) | This solution helps you load test Azure AI Search. It uses Apache JMeter as an open source load and performance testing tool and Terraform to dynamically provision and destroy the required infrastructure on Azure. | [https://github.com/Azure-Samples/azure-search-performance-testing](https://github.com/Azure-Samples/azure-search-performance-testing) |
 | [Visual Studio Code extension](https://github.com/microsoft/vscode-azurecognitivesearch) | Although the extension is no longer available in the Visual Studio Code Marketplace, the code is open sourced at `https://github.com/microsoft/vscode-azurecognitivesearch`. You can clone and modify the tool for your own use. |

articles/search/samples-python.md

@@ -51,7 +51,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | Samples | Article |
 |---------|---------|
 | [quickstart](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart/v11) | Source code for the Python portion of [Quickstart: Full text search using the Azure SDKs](search-get-started-text.md). This article covers the basic workflow for creating, loading, and querying a search index using sample data. |
-| [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-python-samples/blob/main/quickstart-semantic-search/) | Source code for the Python portion of [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md). It shows the index schema and query request for invoking semantic ranking. |
+| [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-Semantic-Search) | Source code for the Python portion of [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md). It shows the index schema and query request for invoking semantic ranking. |
 | [search-website-functions-v4](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/search-website-functions-v4) | Source code for [Tutorial: Add search to web apps](tutorial-python-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-python-samples/tree/main/Tutorial-AI-Enrichment)  | Source code for [Tutorial: Use Python and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob-python.md). This article shows how to create a blob indexer with a cognitive skillset, where the skillset creates and transforms raw content to make it searchable or consumable. |
 

articles/search/samples-rest.md

@@ -28,7 +28,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 | Samples | Description |
 |---------|---------|
 | [Quickstart](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/Quickstart) | Source code for [Quickstart: Create a search index using REST APIs](search-get-started-rest.md). This sample  covers the basic workflow for creating, loading, and querying a search index using sample data. |
-| [Quickstart-vectors](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/Quickstart-vector) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample  covers the basic workflow for indexing and querying vector data. |
+| [Quickstart-vectors](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/Quickstart-vectors) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample  covers the basic workflow for indexing and querying vector data. |
 | [Tutorial](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/Tutorial) | Source code for [Tutorial: Use REST and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob.md). This sample  shows you how to create a skillset that iterates over Azure blobs to extract information and infer structure.|
 | [Debug-sessions](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/Debug-sessions) | Source code for [Tutorial: Diagnose, repair, and commit changes to your skillset](cognitive-search-tutorial-debug-sessions.md). This sample  shows you how to use a skillset debug session in the Azure portal. REST is used to create the objects used during debug.|
 | [custom-analyzers](https://github.com/Azure-Samples/azure-search-postman-samples/tree/main/custom-analyzers) | Source code for [Tutorial: Create a custom analyzer for phone numbers](tutorial-create-custom-analyzer.md). This sample  explains how to use analyzers to preserve patterns and special characters in searchable content.|

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

@@ -250,7 +250,7 @@ Be sure to the **JSON view** and formulate the vector query in JSON. The search
 
 + Use the [**@azure/search-documents 12.0.0-beta.4**](https://www.npmjs.com/package/@azure/search-documents/v/12.0.0-beta.4) package for vector scenarios.  
 
-+ See the [azure-search-vector](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript) GitHub repository for JavaScript code samples.
++ See the [azure-search-vector](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript/JavaScriptVectorDemo) GitHub repository for JavaScript code samples.
 
 ---
 
@@ -604,4 +604,4 @@ Multiple sets are created if the query targets multiple vector fields, or if the
 
 ## Next steps
 
-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/cazure-search-vector-samplesr/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/JavaScriptVectorDemo).