Modular AI Chatbot for Customer Support and Scheduling

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This workflow creates a sophisticated, modular AI-powered chatbot for websites that efficiently handles diverse customer interactions. When a chat message is received, it is processed by a central agent built on OpenAI’s GPT-4 model, which intelligently routes the query to specialized sub-agents. These sub-agents include a calendar agent for scheduling or checking availability, a RAG agent for FAQs and knowledge base responses, and a ticket agent for escalating issues to human support. The system uses a memory buffer to maintain context, ensuring coherent conversations. Designed for customer service and booking scenarios, this workflow improves response accuracy, reduces manual workload, and enhances user experience by providing quick, relevant responses or seamlessly escalating complex issues to live agents.

Node Count

6 – 10 Nodes

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, stickyNote

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