WhatsApp Business AI RAG Chatbot with OpenAI & Qdrant

This n8n workflow creates a complete Business WhatsApp AI-Powered RAG (Retrieval-Augmented Generation) Chatbot. It starts with webhooks for Meta WhatsApp verification (GET) and message reception (POST). Incoming messages are processed: if valid, they're routed to an AI Agent using OpenAI's gpt-4o-mini model with a conversational setup tailored for businesses like electronics stores. The agent retrieves relevant info from a Qdrant vector database, augmented by user queries for accurate, context-aware responses.

The knowledge base is built by downloading documents from Google Drive, generating embeddings via OpenAI, and storing them in Qdrant. This enables semantic search and RAG, ensuring responses are grounded in your business data. Responses are sent back via WhatsApp API seamlessly.

Benefits include 24/7 automated customer engagement, personalized replies without human intervention, scalable knowledge integration, and cost savings on support staff. Ideal use cases: e-commerce customer service, product inquiries, FAQ handling, lead qualification in retail, tech support, or any WhatsApp-heavy business needing intelligent automation.