Certainly! We can set up a basic AI chatbot with simulated RAG capabilities using the GroqCloud API.

This example will include:

1. A simple HTML interface.
2. Frontend JavaScript to handle user input and display messages.
3. A Node.js backend to:
   • Serve the static files.
   • Implement a very basic simulated RAG by selecting predefined text snippets based on keywords in the user's query.
   • Call the GroqCloud API securely using the provided API key.
   • Send the AI's response back to the frontend.

This sets up a basic chat interface and a backend server that uses a simple keyword-based retrieval from a small set of predefined documents to augment the prompt sent to the Groq API.

To run this, you would typically:

1. Save the files as specified.
2. Install dependencies (npm install).
3. Start the server (npm start).

In the WebContainer environment, the npm install and npm start steps will be handled automatically.