Merge pull request #224355 from HeidiSteen/heidist-work

[azure search] Low engagement, part 2

Author: JamesJBarnett

.openpublishing.redirection.json

@@ -16269,6 +16269,11 @@
             "redirect_url": "/azure/scheduler/migrate-from-scheduler-to-logic-apps",
             "redirect_document_id": ""
         },
+        {
+            "source_path_from_root": "/articles/search/search-get-started-vs-code.md",
+            "redirect_url": "/previous-versions/azure/search/search-get-started-vs-code",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/search/search-how-to-index-power-query-data-sources.md",
             "redirect_url": "/previous-versions/azure/search/search-how-to-index-power-query-data-sources",

articles/search/TOC.yml

@@ -25,8 +25,6 @@
       href: knowledge-store-create-portal.md
     - name: Query with Search Explorer
       href: search-explorer.md
-  - name: Visual Studio Code (preview - retired)
-    href: search-get-started-vs-code.md
   - name: C#
     href: search-get-started-dotnet.md
   - name: Java

articles/search/resource-partners-knowledge-mining.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 08/15/2022
+ms.date: 01/18/2023
 ---
 
 # Partner spotlight

articles/search/resource-tools.md

@@ -1,24 +1,23 @@
 ---
-title: Tools for search indexing
+title: Productivity tools
 titleSuffix: Azure Cognitive Search
 description: Use existing code samples or build your own tools for working with a search index in Azure Cognitive Search.
 author: HeidiSteen
 manager: nitinme
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 09/20/2022
+ms.date: 01/18/2023
 ---
 
-# Tools - Azure Cognitive Search
+# Productivity tools - Azure Cognitive Search
 
-Tools are provided as source code that you can download, modify, and build to create an app that helps you develop or maintain a search solution.
-
-The following tools are built by engineers at Microsoft, but aren't part of the Azure Cognitive Search service and aren't under Service Level Agreement (SLA).
+Productivity tools are built by engineers at Microsoft, but aren't part of the Azure Cognitive Search service and aren't under Service Level Agreement (SLA). These tools are provided as source code that you can download, modify, and build to create an app that helps you develop or maintain a search solution.
 
 | Tool name | Description | Source code |
 |-----------|------------ |-------------|
 | [Azure Cognitive Search Lab readme](https://github.com/Azure-Samples/azure-search-lab/blob/main/README.md) | Connects to your search service with a Web UI that exercises the full REST API, including the ability to edit a live search index. | [https://github.com/Azure-Samples/azure-search-lab](https://github.com/Azure-Samples/azure-search-lab) |
-| [Knowledge Mining Accelerator readme](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) |
 | [Back up and Restore readme](https://github.com/liamca/azure-search-backup-restore/blob/master/README.md) | Download a populated search 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) |
+| [Knowledge Mining Accelerator readme](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 readme](https://github.com/Azure-Samples/azure-search-performance-testing/blob/main/README.md) | This solution helps you load test Azure Cognitive 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. |