This n8n workflow enables dynamic customer authentication within a chat support system, combining AI-powered support with session management and user login capability. The process begins with a chat message trigger, which activates a language model (using GPT-4) to assist users, distinguishing between guests and logged-in customers. For guest users, the workflow generates a secure login URL via a tool workflow, allowing users to authenticate through a form. Once authenticated, the user profile is stored in Redis, associating it with the session ID for continuity. The workflow adapts its responses based on the user’s authentication status, providing a seamless experience for both guests and returning customers. Practical use cases include customer service chatbots, online support portals, and any system where user identity verification enhances interaction quality. This setup combines AI, Redis session storage, and form-based login to create a robust and user-friendly support environment.
Customer Authentication in Chat Support Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, form, formTrigger, noOp, redis, set, stickyNote, switch |
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