This workflow creates an interactive WhatsApp chatbot that functions as a virtual sales assistant for Yamaha powered loudspeakers. It automates the process of importing a product brochure PDF, extracting and indexing its content into a vector store, and enabling intelligent, natural-language queries via AI. When a customer sends a message, the workflow filters for text, then uses an AI agent with memory and vector database tools to generate accurate responses about the product catalog or direct users to relevant links. Practical for businesses seeking automated, conversational customer support or sales guidance through WhatsApp, this setup leverages open AI models and in-memory vector storage for quick and effective information retrieval.
WhatsApp Sales Assistant with AI-Powered Product Knowledge
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreInMemory, extractFromFile, httpRequest, manualTrigger, stickyNote, switch, whatsApp, whatsAppTrigger |
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