WhatsApp Business AI Chatbot with Vector Search Integration

This n8n workflow creates an intelligent WhatsApp chatbot for an electronics store, leveraging AI language models and vector search to provide precise and helpful customer support. The workflow begins by setting up a webhook to receive WhatsApp messages and verification requests from Meta. When a message is received, it checks whether the message is valid and responds accordingly. An AI agent powered by GPT-4 handles customer inquiries about products, troubleshooting, and support, referencing a knowledge base stored in Google Drive. To enhance responses, the workflow integrates Qdrant vector search, creating and managing collections for document similarity search. Text data from documents are split into manageable chunks, embedded into vectors via OpenAI, and stored in Qdrant for fast retrieval. The AI uses this knowledge base to provide accurate, contextually relevant responses, enhancing customer engagement and support. This setup is particularly suitable for businesses seeking automated, intelligent customer service through WhatsApp, with advanced document understanding capabilities.