chore: remove unused deployment scripts and update AVM post-deployment guide

Author: Abdul-Microsoft

docs/AVMPostDeploymentGuide.md

@@ -12,13 +12,24 @@ Ensure you have a **Deployed Infrastructure** - A successful Chat with your data
 
 ## Post Deployment Steps
 
-### Step 1: Configure App Authentication
+### Step 1: Run the Post-Deployment Setup Script
+
+Run the post-deployment setup script to configure the Function App client key and create PostgreSQL tables (if applicable). Open [Azure Cloud Shell](https://shell.azure.com) (Bash) and run:
+
+```bash
+az login
+git clone https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator.git
+cd chat-with-your-data-solution-accelerator
+bash scripts/post_deployment_setup.sh "<your-resource-group-name>"
+```
+
+### Step 2: Configure App Authentication
 
 1. After deployment is complete, navigate to your Azure App Service in the Azure portal
 2. Follow the detailed instructions in [Set Up Authentication in Azure App Service](./azure_app_service_auth_setup.md) to add authentication to your web app
 3. This will ensure only authorized users can access your application
 
-### Step 2: Access and Configure the Admin Site
+### Step 3: Access and Configure the Admin Site
 
 1. **Navigate to the admin site** using the following URL pattern:
    ```
@@ -36,7 +47,7 @@ Ensure you have a **Deployed Infrastructure** - A successful Chat with your data
    - Wait for the documents to be processed and indexed
    - Verify successful ingestion through the admin interface
 
-### Step 3: Access the Chat Application
+### Step 4: Access the Chat Application
 
 1. **Navigate to the main chat application** using this URL pattern:
    ```

docs/postgreSQL.md

@@ -57,8 +57,8 @@ LIMIT $2;
 
 ---
 
-### 4. **Automated Table Creation**
-The PostgreSQL deployment process automatically creates the necessary tables for chat history and vector storage, including table indexes. The script `create_postgres_tables.py` is executed as part of the infrastructure deployment, ensuring the database is ready for use immediately after setup.
+### 4. **Table Creation**
+The necessary PostgreSQL tables for chat history and vector storage, including table indexes, are created as part of the post-deployment steps. The `setup_postgres_tables.py` script is executed during post-deployment, and once complete, the database will be ready for use.
 
 ---
 
@@ -78,7 +78,7 @@ All PostgreSQL connections use secure configurations:
 ## Benefits of PostgreSQL Integration
 1. **Scalability**: PostgreSQL offers robust data storage and table indexing capabilities suitable for large-scale deployments
 2. **Flexibility**: Dynamic database switching allows users to choose between PostgreSQL and CosmosDB based on their requirements.
-3. **Ease of Use**: Automated table creation and environment configuration simplify deployment and management.
+3. **Ease of Use**: A single post-deployment script handles table creation and environment configuration, simplifying deployment and management.
 4. **Security**: SSL-enabled connections and secure credential handling ensure data protection.