WhatsApp AI RAG Chatbot

This n8n workflow integrates WhatsApp Business messaging with a Retrieval-Augmented Generation (RAG) AI system. It uses OpenAI for conversational intelligence and Qdrant as a vector database to manage a knowledge base. The chatbot can respond to customer queries about products, troubleshoot technical issues, and provide customer service in real time over WhatsApp — all powered by a custom knowledge base stored in Qdrant and synchronized via Google Drive.

Features

• WhatsApp Business Webhook Integration
  • Handles both GET verification and POST message events from Meta.
  • Distinguishes between user messages and other notifications.
• Knowledge Base Vectorization
  • Fetches files from Google Drive.
  • Converts text into embeddings via OpenAI.
  • Stores semantic vectors in Qdrant for fast, relevant retrieval.
• Retrieval-Augmented Generation (RAG) AI
  • Uses LangChain’s conversational agent.
  • Incorporates relevant documents from Qdrant into AI responses.
  • Customizable system prompt to match tone, branding, and business needs.
• Customer Service Automation
  • Provides product information, technical troubleshooting, and general support.
  • Handles order-related inquiries with guided steps.
  • Includes graceful fallback for unsupported or unclear queries.
• Modular & Configurable
  • Environment-ready: simply update Qdrant URL, collection name, and credentials.
  • Changeable AI model, prompt style, or vector database without breaking workflow.
  • Memory buffer enables context retention across conversations.