Intelligent WhatsApp AI Assistant with RAG
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Deploy a sophisticated AI-powered chatbot on WhatsApp, leveraging Retrieval Augmented Generation (RAG) to provide accurate, real-time customer support. This workflow empowers businesses to automate product inquiries, troubleshooting, and general assistance, enhancing customer experience around the clock.
About This Workflow
This n8n workflow creates a robust, AI-driven WhatsApp chatbot designed for businesses, particularly within retail or e-commerce, exemplified by an electronics store persona. It integrates WhatsApp for seamless customer interaction, an advanced AI agent powered by OpenAI's gpt-4o-mini, and a Qdrant vector store for Retrieval Augmented Generation (RAG). This combination ensures that the chatbot provides highly accurate, context-aware responses based on your specific knowledge base, moving beyond generic AI to deliver precise product information, detailed troubleshooting, and professional customer service 24/7. It's built for consistency, scalability, and an exceptional customer experience.
Key Features
- WhatsApp Integration: Directly engage customers on their preferred messaging platform for immediate support and information.
- AI-Powered Conversational Agent: Utilize an intelligent agent with a pre-defined persona (e.g., electronics store assistant) to handle diverse customer queries.
- Retrieval Augmented Generation (RAG): Connects to a Qdrant vector store to access a proprietary knowledge base, ensuring answers are precise and factual.
- Automated Product & Technical Support: Delivers detailed product descriptions, specifications, troubleshooting guides, and general support without human intervention.
- Customizable AI Guidelines: Easily adapt the AI's behavior, tone, and response strategies through a comprehensive system message.
How To Use
- Set up WhatsApp Webhook: Configure your Meta Developers account to send incoming WhatsApp messages to the
Respond to Webhooknode in n8n. - Configure Qdrant Credentials: Enter your Qdrant API key and URL in the
Qdrant Vector StoreandhttpRequest(Create/Refresh collection) nodes. - Create/Refresh Qdrant Collection: Execute the
Create collectionandRefresh collectionHTTP Request nodes to initialize or clear your vector database collection in Qdrant. - Populate Knowledge Base: Integrate your product documentation, FAQs, and support articles into the Qdrant Vector Store to build your RAG knowledge base. This is often done via a separate workflow or data ingestion process.
- Customize AI Agent Persona: Adjust the
systemMessagewithin theAI Agentnode to align the chatbot's role, guidelines, and tone with your specific business needs. - Connect OpenAI: Ensure your OpenAI API key is linked via the
OpenAI Chat Modelnode credentials to enable the generative AI capabilities.
Apps Used
Workflow JSON
{
"id": "d65f390f-11a5-4174-8d25-e9131157976e",
"name": "Intelligent WhatsApp AI Assistant with RAG",
"nodes": 23,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: d65f390f-11a5...
About the Author
SaaS_Connector
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Connecting CRM, Notion, and Slack to automate your life.
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