This n8n workflow automates a recursive chat process using multiple AI agents for dynamic content handling. It triggers on receiving a chat message via webhook, manages context with memory buffers, and employs language models for both writing and editing responses. The workflow enables iterative refinement of responses based on AI feedback, useful for complex content generation or conversational agents. It can be adapted for customer support, content creation, or interactive FAQ systems.
Recursive AI Chat Workflow for Dynamic Content Management
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.outputParserStructured, code, if, set, stickyNote |
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