Automate WhatsApp Responses Using Groq LLM and Memory

This workflow is designed for small businesses that need to efficiently manage customer interactions on WhatsApp. By leveraging the Groq language model and simple memory storage, it automates the process of responding to customer messages. The workflow begins with a WhatsApp trigger to capture incoming messages, uses conditional logic to determine the appropriate response, and employs an AI agent to generate replies based on the Groq model. The memory component ensures context is maintained across interactions, providing a seamless experience for customers.