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.
