This n8n workflow is designed to streamline customer support interactions using AI and dynamic session management. It begins with a trigger (via webhook or flow trigger), then manages user sessions through Redis for session tracking, rate limiting, and chat memory. The workflow integrates AI language models and Langchain agents for intelligent responses, and incorporates service-specific workflows like taxi booking and callback functions. Key nodes include Redis for session control, Langchain for AI interactions, and multiple conditional switches to route conversations appropriately. This automation enables efficient handling of support inquiries, preservation of chat context, and seamless service escalation, making it ideal for call centers or support hubs seeking intelligent automation.
Automated AI-Powered Support and Session Management
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatXAiGrok, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.toolWorkflow, code, executeWorkflow, executeWorkflowTrigger, if, postgresTool, redis, set, stickyNote, switch |
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