Building Your First WhatsApp Chatbot

This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions. This template is intended to help introduce n8n users interested in building with WhatsApp. How it works This template is in 2 parts: creating the product catalog vector store and building the WhatsApp AI chatbot. A product brochure is imported via HTTP request node and its text contents extracted. The text contents are then uploaded to the in-memory vector store to build a knowledgebase for the chatbot. A WhatsApp trigger is used to capture messages from customers where non-text messages are filtered out. The customer's message i

Help me set up the n8n workflow "Building Your First WhatsApp Chatbot" (https://n8n.io/workflows/2465). It uses: HTTP Request, WhatsApp Business Cloud, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, Simple Vector Store, Default Data Loader, Vector Store Question Answer Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.