Merge pull request #193 from sdgilley/sdg-ai-rag-tutorial

Sdg ai rag tutorial

Author: prmerger-automator[bot]

articles/ai-studio/tutorials/copilot-sdk-create-resources.md

@@ -97,9 +97,9 @@ This section shows how to configure the various access controls needed for the r
 
 We recommend using [Microsoft Entra ID](/entra/fundamentals/whatis) instead of using API keys. In order to use this authentication, you need to set the right access controls and assign the right roles for your services. 
 
-### Configure access for Azure AI Services/OpenAI
+### Configure access for Azure AI Services
 
-Start in the project to find the AI Services/OpenAI resource:
+Start in the project to find the AI Services resource:
 
 1. In [AI Studio](https://ai.azure.com), go to your project and select **Settings** from the left pane.
 1. Select **Connected resources**.

articles/ai-studio/tutorials/copilot-sdk-evaluate-deploy.md

@@ -160,7 +160,7 @@ The deploy script will:
 - Route all traffic to that deployment
 - Output the link to view and test the deployment in the Azure AI Studio
 
-The deployment defines a build context (Dockerfile) that relies on the `requirement.txt` specified in our flow folder, and also sets our environment variables to the deployed environment, so we can be confident that our chat app application runs the same in a production environment as it did locally.
+The deployment defines a build context (Dockerfile) that relies on the `requirement.txt` specified in our flow folder, and also sets our environment variables to the deployed environment, so we can be confident that our chat app runs the same in a production environment as it did locally.
 
 ### Build context for the deployment (Dockerfile)