AI-Powered Chatbot Workflow for Insurance Quotation Assistance

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This n8n workflow creates an intelligent chatbot that interacts with users to gather insurance-related information and retrieve tailored product options from a database. It begins with a webhook trigger, which initiates a conversation with the user through a chat interface. The workflow stores chat context and user data in a PostgreSQL database to maintain session continuity. It integrates with OpenAI’s language models to generate responses and perform intelligent processing based on user input.

The process involves multiple steps: the chatbot listens for user questions, stores and retrieves chat history, and uses language models for intelligent reply generation. It also queries a MySQL database to find insurance products matching user criteria such as age, location, and coverage needs. Additionally, it accesses a knowledge base API to provide specific information about prices or coverage options.

This workflow is practical for deploying automated, AI-driven chat support on insurance or service websites, enhancing user engagement and automating customer inquiries seamlessly.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.toolHttpRequest, if, mySqlTool, set, stickyNote

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