Resource and Reference node cleanup

Author: HeidiSteen

articles/search/TOC.yml

@@ -25,7 +25,7 @@
     items:
     - name: Create an index (Import data wizard)
       href: search-get-started-portal.md
-    - name: Chunk and vectorize (Import and vectorize data wizard)
+    - name: Import, chunk, and vectorize data
       href: search-get-started-portal-import-vectors.md
     - name: Create a demo app
       href: search-create-app-portal.md
@@ -123,6 +123,8 @@
     href: samples-python.md
   - name: REST samples
     href: samples-rest.md
+  - name: Vector samples
+    href: https://github.com/Azure/azure-search-vector-samples
 - name: Concepts
   items:
   - name: Data
@@ -554,7 +556,7 @@
         href: /python/api/azure-mgmt-search/
   - name: Data reference
     items:
-    - name: Supported data types
+    - name: Data types
       href: /rest/api/searchservice/supported-data-types
     - name: Data types for indexer data sources
       href: /rest/api/searchservice/data-type-map-for-indexers-in-azure-search
@@ -687,11 +689,9 @@
   - name: Azure products by region
     href: https://azure.microsoft.com/explore/global-infrastructure/products-by-region/?products=search
   - name: Compliance and certification
-    href: https://learn.microsoft.com/azure/compliance/
+    href: /azure/compliance/
   - name: Demos, tools, and training
     items:
-    - name: Vector samples
-      href: https://github.com/Azure/azure-search-vector-samples
     - name: Demo sites
       href: resource-demo-sites.md
     - name: Tools and accelerators

articles/search/resource-tools.md

@@ -6,10 +6,8 @@ author: HeidiSteen
 manager: nitinme
 ms.author: heidist
 ms.service: cognitive-search
-ms.custom:
-  - ignite-2023
 ms.topic: conceptual
-ms.date: 01/10/2024
+ms.date: 05/22/2024
 ---
 
 # Productivity tools - Azure AI Search
@@ -22,4 +20,4 @@ Productivity tools are built by engineers at Microsoft, but aren't part of the A
 | [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. |
+| [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 source. You can clone and modify the tool for your own use. | [https://github.com/microsoft/vscode-azurecognitivesearch](https://github.com/microsoft/vscode-azurecognitivesearch) |

articles/search/resource-training.md

@@ -1,22 +1,26 @@
 ---
-title: Search training modules
+title: Training modules
 titleSuffix: Azure AI Search
 description: Get hands-on training on Azure AI Search from Microsoft and other third-party training providers.
 author: HeidiSteen
 manager: nitinme
 ms.author: heidist
 ms.service: cognitive-search
-ms.custom:
-  - ignite-2023
 ms.topic: conceptual
-ms.date: 01/10/2024
+ms.date: 05/22/2024
 ---
 
 # Training - Azure AI Search
 
 Training modules deliver an end-to-end experience that helps you build skills and develop insights while working through a progression of exercises. Visit the following links to begin learning with prepared lessons from Microsoft and other training providers.
 
-+ [Introduction to Azure AI Search (Microsoft)](/training/modules/intro-to-azure-search/)
++ [Fundamentals of Knowledge Mining and Azure AI Search](/training/modules/intro-to-azure-search/)
++ [Build a RAG-based copilot solution with your own data using Azure AI Studio](/training/modules/build-copilot-ai-studio/)
++ [Create a custom skill for Azure AI Search](/training/modules/create-enrichment-pipeline-azure-cognitive-search/)
++ [Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service](/training/modules/use-own-data-azure-openai/)
 + [Implement knowledge mining with Azure AI Search (Microsoft)](/training/paths/implement-knowledge-mining-azure-cognitive-search/)
++ [Implement advanced search features in Azure AI Search](/training/modules/implement-advanced-search-features-azure-cognitive-search/)
++ [Perform vector search and retrieval in Azure AI Search](/training/modules/improve-search-results-vector-search/)
++ [Perform search re-ranking with semantic ranking in Azure AI Search](/training/modules/use-semantic-search/)
 + [Add search to apps (Pluralsight)](https://www.pluralsight.com/courses/azure-adding-search-abilities-apps)
 + [Developer course (Pluralsight)](https://www.pluralsight.com/courses/microsoft-azure-textual-content-search-enabling)