fixed links

Author: HeidiSteen

articles/search/cognitive-search-skill-azure-openai-embedding.md

@@ -46,7 +46,7 @@ Parameters are case-sensitive.
 | `deploymentId`   | The name of the deployed Azure OpenAI embedding model. The model should be an embedding model, such as text-embedding-ada-002. See the [List of Azure OpenAI models](/azure/ai-services/openai/concepts/models) for supported models.|
 | `authIdentity`   | A user-managed identity used by the search service for connecting to Azure OpenAI. You can use either a [system or user managed identity](search-howto-managed-identities-data-sources.md). To use a system manged identity, leave `apiKey` and `authIdentity` blank. The system-managed identity is used automatically. A managed identity must have [Cognitive Services OpenAI User](/azure/ai-services/openai/how-to/role-based-access-control#azure-openai-roles) permissions to send text to Azure OpenAI. |
 | `modelName` | This property is required if your skillset is created using the 2024-05-01-preview or 2024-07-01 REST API. Set this property to the deployment name of an Azure OpenAI embedding model deployed on the provider specified through `resourceUri` and identified through `deploymentId`. Currently, the supported values are `text-embedding-ada-002`, `text-embedding-3-large`, and `text-embedding-3-small`.  |
-| `dimensions` | Optional, starting in the 2024-05-01-preview REST API, the dimensions of embeddings that you would like to generate, assuming the model supports a range of dimensions. Supported ranges are listed below, and currently only apply to the text-embedding-3 model series. The default is the maximum dimensions for each model. For skillsets created using earlier RESt API versions dating back to the 2023-10-01-preview, dimensions are fixed at 1536. When setting the dimensions property on a skill, make sure to set the `dimensions` property on the [vector field definition](vector-search-how-to-create-index,md#add-a-vector-field-to-the-fields-collection) to the same value. |
+| `dimensions` | Optional, starting in the 2024-05-01-preview REST API, the dimensions of embeddings that you would like to generate, assuming the model supports a range of dimensions. Supported ranges are listed below, and currently only apply to the text-embedding-3 model series. The default is the maximum dimensions for each model. For skillsets created using earlier RESt API versions dating back to the 2023-10-01-preview, dimensions are fixed at 1536. When setting the dimensions property on a skill, make sure to set the `dimensions` property on the [vector field definition](vector-search-how-to-create-index.md#add-a-vector-field-to-the-fields-collection) to the same value. |
 
 ## Supported dimensions by `modelName`
 

articles/search/search-get-started-rag.md

@@ -21,20 +21,20 @@ This quickstart shows you how to send queries to a chat completion model for a c
 
 - An Azure subscription with permissions to assign roles. [Create one for free](https://azure.microsoft.com/free/).
 
-- [Azure OpenAI](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource)
+- [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource)
 
-  - [Choose a region](https://learn.microsoft.com/azure/ai-services/openai/concepts/models?tabs=global-standard%2Cstandard-chat-completions#global-standard-model-availability) that supports the chat completion model you want to use (gpt-4o, gpt-4o-mini, or equivalent model). 
-  - [Deploy the chat completion model](https://learn.microsoft.com/azure/ai-studio/how-to/deploy-models-openai) in Azure AI Foundry or [use another approach](https://learn.microsoft.com/azure/ai-services/openai/how-to/working-with-models?tabs=powershell).
+  - [Choose a region](/azure/ai-services/openai/concepts/models?tabs=global-standard%2Cstandard-chat-completions#global-standard-model-availability) that supports the chat completion model you want to use (gpt-4o, gpt-4o-mini, or equivalent model). 
+  - [Deploy the chat completion model](/azure/ai-studio/how-to/deploy-models-openai) in Azure AI Foundry or [use another approach](/azure/ai-services/openai/how-to/working-with-models).
 
-- [Azure AI Search](https://learn.microsoft.com/azure/search/search-create-service-portal)
+- [Azure AI Search](search-create-service-portal.md)
 
   - Same region as Azure OpenAI.
   - Basic tier or higher is recommended.
   - [Enable semantic ranking](semantic-how-to-enable-disable.md).
   - Enable role-based access control.
   - Enable a system identity for Azure AI Search.
 
-To meet the same-region requirement, start by reviewing the [regions for the chat model](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) you want to use. Once you identify a region, confirm that Azure AI Search is available in the [same region](https://learn.microsoft.com/azure/search/search-region-support#azure-public-regions).
+To meet the same-region requirement, start by reviewing the [regions for the chat model](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) you want to use. Once you identify a region, confirm that Azure AI Search is available in the [same region](search-region-support.md#azure-public-regions).
 
 Make sure you know the name of the deployed model, and have the endpoints for both Azure resources at hand. You'll provide this information in the steps that follow.
 
@@ -230,7 +230,7 @@ It takes several minutes to create the environment. When the environment is read
 
 ## Sign in to Azure
 
-You're using Microsoft Entra ID and role assignments for the connection. Make sure you're logged in to the same tenant and subscription as Azure AI Search and Azure OpenAI. You can use the Azure CLI on the command line to show current properties, change properties, and to sign in. For more information, see [Connect without keys](https://learn.microsoft.com/azure/search/search-get-started-rbac). 
+You're using Microsoft Entra ID and role assignments for the connection. Make sure you're logged in to the same tenant and subscription as Azure AI Search and Azure OpenAI. You can use the Azure CLI on the command line to show current properties, change properties, and to sign in. For more information, see [Connect without keys](search-get-started-rbac.md). 
 
 Run each of the following commands in sequence.