This workflow automates customer support on WhatsApp by processing incoming messages, retrieving relevant knowledge from a Google Doc, and generating intelligent responses using Google Gemini AI. It starts with a webhook that captures messages from WhatsApp, then validates and processes them through a sequence of nodes. The message data is enriched with information from a Google Doc-based knowledge base. An AI agent powered by Google Gemini uses this combined context to produce relevant, persona-driven replies, which are then formatted to fit WhatsApp’s message length limits. The workflow sends responses back via an HTTP request to a WhatsApp API, and handles errors gracefully, ensuring reliable communication. This setup is ideal for businesses seeking automated, AI-driven customer support that maintains context and provides informative responses in real time.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, googleDocs, httpRequest, if, respondToWebhook, stickyNote, webhook