add rest api link to content

Author: laujan

articles/ai-services/content-understanding/index.yml

@@ -19,6 +19,8 @@ landingContent:
         links:
           - text: What is Azure AI Content Understanding?
             url: overview.md
+          - text: Azure AI Content Understanding REST API
+            url: /rest/api/aiservices/
           - text: FAQ
             url: faq.yml
 
@@ -39,9 +41,9 @@ landingContent:
     linkLists:
       - linkListType: quickstart
         links:
-        - text: REST API
+        - text: Try Content Understanding REST API
           url: quickstart/use-rest-api.md
-        - text: Azure AI Foundry
+        - text: Try Azure AI Foundry
           url: image/overview.md
 
   - title: How-to guides

articles/ai-services/content-understanding/quickstart/use-ai-foundry.md

@@ -122,5 +122,5 @@ To follow are several of our video analyzer templates.
 
 ## Next steps
 
-* In this quickstart, you learned how to create an analyzer in Azure AI Foundry. To use REST APIs, *see8 the [REST API quickstart](use-rest-api.md).
+* In this quickstart, you learned how to create an analyzer in Azure AI Foundry. To use [REST API](/rest/api/aiservices/), *see* the [REST API quickstart](use-rest-api.md).
 

articles/ai-services/content-understanding/quickstart/use-rest-api.md

@@ -12,13 +12,13 @@ ms.date: 11/19/2024
 
 # Quickstart: Azure AI Content Understanding REST APIs
 
-* Start using the latest preview version of the Azure AI Content Understanding REST API (2024-12-01-preview).
+* Start using the latest preview version of the Azure AI Content Understanding [REST API (2024-12-01-preview)](/rest/api/aiservices/).
 
 * Azure AI Content Understanding is a new generative AI-based [**Azure AI Service**](../../what-are-ai-services.md) that analyzes files of any modality (documents, images, videos, and audio) and extracts structured output in user-defined field formats.
 
 * Integrate the Content Understanding service into your workflows and applications easily by calling our REST APIs.
 
-* This quickstart guides you through using the Content Understanding REST API to create a custom analyzer and extract content and fields from your input.
+* This quickstart guides you through using the [Content Understanding REST API](/rest/api/aiservices/) to create a custom analyzer and extract content and fields from your input.
 
 ## Prerequisites
 
@@ -542,6 +542,6 @@ The 200 (`OK`) JSON response includes a `status` field indicating the status of
 
 ## Next steps 
 
-* In this quickstart, you learned how to call the REST API to create a custom analyzer. For a user experience, try [**Azure AI Foundry**](https://ai.azure.com/). 
+* In this quickstart, you learned how to call the [REST API](/rest/api/aiservices/) to create a custom analyzer. For a user experience, try [**Azure AI Foundry**](https://ai.azure.com/). 
 
 

articles/ai-services/content-understanding/service-limits.md

@@ -92,7 +92,7 @@ The following limits apply as of version 2024-12-01-preview.
 Classification fields can be defined to return either a single category (single-label classification) or multiple categories (multi-label classification).
 
 * **Single-label classification**: Defined using a string field with the `classify` method. It can be a top-level basic field or a subfield within a group or table.
-* **Multi-label classification**: Represented as a list of string fields with the `classify` method. In the REST API, `method=classify` and `enum` are specified on the inner string field and can only be a top-level field.
+* **Multi-label classification**: Represented as a list of string fields with the `classify` method. In the [REST API](/rest/api/aiservices/), `method=classify` and `enum` are specified on the inner string field and can only be a top-level field.
 
 *Note: Document analyzers currently don't support classification fields.*
 

articles/ai-services/content-understanding/toc.yml

@@ -49,3 +49,9 @@ items:
   - name: Video
     href: video/overview.md
     displayName: video, audio, voice, recognition, synthesis, speaker, identification, verification, diarization, transcription, translation, language, understanding, sentiment, analysis, emotion, detection, pronunciation, model
+- Name: Reference
+  items:
+  - name: REST API
+    displayName: quota, tiers, throttle, max, adjustments, requests, support, ocr
+    href: /rest/api/aiservices/
+