This workflow captures incoming WhatsApp messages via a WhatsApp Trigger and routes the conversation to an AI Agent for context-aware processing. The AI Agent is powered by Google's Gemini Chat models and enhanced with a Pinecone Vector Store for contextual memory and retrieval. Memory modules ensure the chat history and user interactions are stored and reused for continuity.

The vector store integrates Hugging Face embeddings to transform user input into searchable vectors, enabling the system to retrieve the most relevant answers from stored knowledge. AI responses are dynamically generated using Google Gemini models, fine-tuned with memory and contextual data. Final answers are then delivered back to the user through WhatsApp Business Cloud, ensuring real-time and highly personalized responses.

This no-code/low-code automation demonstrates an end-to-end intelligent assistant capable of memory retention, semantic search, and conversational response—ideal for scalable customer support or virtual assistants.