reformatting section

Author: kquinn1204

content/patterns/rag-llm-gitops/getting-started.md

@@ -21,72 +21,70 @@ aliases: /rag-llm-gitops/getting-started/
    ```
 3. Go to your repository: Ensure you are in the root directory of your git repository by using the following command:
 
-  ```sh
-  $ cd rag-llm-gitops
-  ```
+   ```sh
+   $ cd rag-llm-gitops
+   ```
 3. Create a local copy of the secret values file by running the following command:
 
-```sh
-$ cp values-secret.yaml.template ~/values-secret-rag-llm-gitops.yaml
-```
-> **Note:**
->For this demo, editing this file is unnecessary as the default configuration works out of the box upon installation.  
+   ```sh
+   $ cp values-secret.yaml.template ~/values-secret-rag-llm-gitops.yaml
+   ```
+   > **Note:**
+   >For this demo, editing this file is unnecessary as the default configuration works out of the box upon installation.  
 
 4. Add the remote upstream repository by running the following command: 
 
-  ```sh
-  $ git remote add -f upstream [email protected]:validatedpatterns/rag-llm-gitops.git
-  ```
+   ```sh
+   $ git remote add -f upstream [email protected]:validatedpatterns/rag-llm-gitops.git
+   ```
 5. Create a local branch by running the following command: 
 
-```sh
-$ git checkout -b my-test-branch main
-```
+   ```sh
+   $ git checkout -b my-test-branch main
+   ```
 
 6. Run the following command to push `my-test-branch` to the origin remote repository:
 
-  ```sh
-  $ git push origin my-test-branch
-  ```
+   ```sh
+   $ git push origin my-test-branch
+   ```
 6. Ensure you have logged in to the cluster at both command line and the console by using the login credentials presented to you when you installed the cluster. For example: 
 
-  ```sh
-  INFO Install complete!
-  INFO Run 'export KUBECONFIG=<your working directory>/auth/kubeconfig' to manage the cluster with 'oc', the OpenShift CLI.
-  INFO The cluster is ready when 'oc login -u kubeadmin -p <provided>' succeeds (wait a few minutes).
-  INFO Access the OpenShift web-console here: https://console-openshift-console.apps.demo1.openshift4-beta-abcorp.com
-  INFO Login to the console with user: kubeadmin, password: <provided>
-  ```
-
+   ```sh
+   INFO Install complete!
+   INFO Run 'export KUBECONFIG=<your working directory>/auth/kubeconfig' to manage the cluster with 'oc', the OpenShift CLI.
+   INFO The cluster is ready when 'oc login -u kubeadmin -p <provided>' succeeds (wait a few minutes).
+   INFO Access the OpenShift web-console here: https://console-openshift-console.apps.demo1.openshift4-beta-abcorp.com
+   INFO Login to the console with user: kubeadmin, password: <provided>
+   ```
 7. Add GPU nodes to your existing cluster deployment by running the following command: 
 
-  ```sh
-  $ ./pattern.sh make create-gpu-machineset
-  ```
-> **Note:**  
-> You may need to create a file `config` in your home directory and populate it with the region name.  
-> 1. Run the following:  
-> ```sh
-> vi ~/.aws/config
-> ```  
-> 2. Add the following:  
-> ```sh
-> [default]
-> region = us-east-1
-> ```
+   ```sh
+   $ ./pattern.sh make create-gpu-machineset
+   ```
+   > **Note:**  
+   > You may need to create a file `config` in your home directory and populate it with the region name.  
+   > 1. Run the following:  
+   > ```sh
+   > vi ~/.aws/config
+   > ```  
+   > 2. Add the following:  
+   > ```sh
+   > [default]
+   > region = us-east-1
+   > ```
 
 8. Adding the GPU nodes should take about 5-10 minutes. You can verify the addition of these `g5.2xlarge` nodes in the OpenShift web console under **Compute** > **Nodes**.   
 
 9. Install the pattern with the demo application by running the following command: 
 
-```sh
-./pattern.sh make install
-``` 
-
-> **Note:**  
-> This deploys everything you need to run the demo application including the Nividia GPU Operator and the Node Feature Discovery Operator used to determine your GPU nodes. 
-> 
+   ```sh
+   $ ./pattern.sh make install
+   ``` 
 
+   > **Note:**  
+   > This deploys everything you need to run the demo application including the Nividia GPU Operator and the Node Feature Discovery Operator used to determine your GPU nodes. 
+   > 
 
 ## Verify the Installation