reformatting section 3

Author: kquinn1204

content/patterns/rag-llm-gitops/deploying-different-db.md

@@ -6,7 +6,7 @@ aliases: /rag-llm-gitops/getting-started/
 
 # Deploying a different database
 
-**Note**: This pattern supports two types of vector databases, EDB Postgres for Kubernetes, and Redis. By default the pattern will deploy EDB Postgres for Kubernetes as a vector database. To deploy Redis, change the `global.db.type` parameter to the `REDIS` value in [values-global.yaml](./values-global.yaml).
+This pattern supports two types of vector databases, EDB Postgres for Kubernetes, and Redis. By default the pattern will deploy EDB Postgres for Kubernetes as a vector database. To deploy Redis, change the `global.db.type` parameter to the `REDIS` value in [values-global.yaml](./values-global.yaml).
 
 ```yaml
 ---

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

@@ -116,66 +116,4 @@ aliases: /rag-llm-gitops/getting-started/
 
   ![Routes](/images/rag-llm-gitops/proposal.png)
 
-### Add an OpenAI provider
-
-You can optionally add additional providers. The application supports the following providers
-
-- Hugging Face Text Generation Inference Server
-- OpenAI
-- NVIDIA
-
-Click on the `Add Provider` tab to add a new provider. Fill in the details and click `Add Provider` button. The provider should be added in the `Providers` dropdown under `Chatbot` tab.
-
-![Routes](/images/rag-llm-gitops/add_provider.png)
-
-### Generate the proposal document using OpenAI provider
-
-Follow the instructions in step 3 to generate the proposal document using the OpenAI provider.
-
-![Routes](/images/rag-llm-gitops/chatgpt.png)
-
-### Rating the provider
-
-You can provide rating to the model by clicking on the `Rate the model` radio button. The rating will be captured as part of the metrics and can help the company which model to deploy in production.
-
-### Grafana Dashboard
-
-By default, Grafana application is deployed in `llm-monitoring` namespace. Launch the Grafana Dashboard, by running the following instructions:
-
-- Grab the credentials of Grafana Application
-  - Navigate to Workloads --> Secrets
-  - Click on the grafana-admin-credentials and copy the GF_SECURITY_ADMIN_USER, GF_SECURITY_ADMIN_PASSWORD
-- Launch Grafana Dashboard
-  - Click the `Application box` icon in the header, and select `Grafana UI for LLM ratings`
- ![Launch Application](/images/rag-llm-gitops/launch-application.png)
-  - Enter the Grafana admin credentials.
-  - Ratings are displayed for each model.
-
-![Routes](/images/rag-llm-gitops/monitoring.png)
-
-
-
-
-### Deploy application
-
-**Note**: This pattern supports two types of vector databases, EDB Postgres for Kubernetes, and Redis. By default the pattern will deploy EDB Postgres for Kubernetes as a vector database. To deploy Redis, change the `global.db.type` parameter to the `REDIS` value in [values-global.yaml](./values-global.yaml).
-
-```yaml
----
-global:
-  pattern: rag-llm-gitops
-  options:
-    useCSV: false
-    syncPolicy: Automatic
-    installPlanApproval: Automatic
-# Possible value for db.type = [REDIS, EDB]
-  db:
-    index: docs
-    type: EDB  # <--- Default is EDB, Change the db type to REDIS for Redis deployment
-main:
-  clusterGroupName: hub
-  multiSourceConfig:
-    enabled: true
-```
-
 

content/patterns/rag-llm-gitops/rating-the-provider.md

@@ -6,46 +6,23 @@ aliases: /rag-llm-gitops/getting-started/
 
 # Rating the provider
 
-You can provide rating to the model by clicking on the `Rate the model` radio button. The rating will be captured as part of the metrics and can help the company which model to deploy in production.
+You can provide rating to the model by clicking on the `Rate the model` radio button. The rating are captured as part of the metrics and can help the company decide which model to deploy in production.
 
 ## Grafana Dashboard
 
-By default, Grafana application is deployed in `llm-monitoring` namespace. Launch the Grafana Dashboard, by running the following instructions:
-
-- Grab the credentials of Grafana Application
-  - Navigate to Workloads --> Secrets
-  - Click on the grafana-admin-credentials and copy the GF_SECURITY_ADMIN_USER, GF_SECURITY_ADMIN_PASSWORD
-- Launch Grafana Dashboard
-  - Click the `Application box` icon in the header, and select `Grafana UI for LLM ratings`
- ![Launch Application](/images/rag-llm-gitops/launch-application.png)
-  - Enter the Grafana admin credentials.
-  - Ratings are displayed for each model.
-
-![Routes](/images/rag-llm-gitops/monitoring.png)
+By default, the Grafana application is deployed in the `llm-monitoring` namespace. You can track the ratings by logging in to the Grafana Dashboard by following the steps below. 
 
+1. In the OpenShift web console go to **Workloads** > **Secrets**.
 
+2. Click on the `ai-llm-grafana-admin-credentials` scroll down. 
 
+3. Launch Grafana Dashboard by clicking the `Application box` icon in the header, and select `Grafana UI for LLM ratings`. 
 
-### Deploy application
-
-**Note**: This pattern supports two types of vector databases, EDB Postgres for Kubernetes, and Redis. By default the pattern will deploy EDB Postgres for Kubernetes as a vector database. To deploy Redis, change the `global.db.type` parameter to the `REDIS` value in [values-global.yaml](./values-global.yaml).
+4. In the top right hand corner click `Sign in`
+ ![Launch Application](/images/rag-llm-gitops/launch-application.png)
 
-```yaml
----
-global:
-  pattern: rag-llm-gitops
-  options:
-    useCSV: false
-    syncPolicy: Automatic
-    installPlanApproval: Automatic
-# Possible value for db.type = [REDIS, EDB]
-  db:
-    index: docs
-    type: EDB  # <--- Default is EDB, Change the db type to REDIS for Redis deployment
-main:
-  clusterGroupName: hub
-  multiSourceConfig:
-    enabled: true
-```
+5. Enter the Grafana admin credentials. Copy the `GF_SECURITY_ADMIN_USER`, `GF_SECURITY_ADMIN_PASSWORD` from `ai-llm-grafana-admin-credentials` screen in the OpenShift web console. 
 
+6. Ratings are displayed for each model. 
 
+![Routes](/images/rag-llm-gitops/monitoring.png)