WhatsApp-Verkaufschatbot mit Produktkatalog-Vektorspeicher ausführen

## Try It Out! ### 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 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 is sent to the AI Agent which queries the product catalogue using the vector store tool. * The Agent's response is sent back to the user via the WhatsApp node. ### Need Help? Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}