This n8n workflow facilitates an AI-powered conversational system that interacts with users through a chat interface, remembers the conversation history, and updates a Notion database automatically. The workflow begins with a webhook trigger that starts a chat session. It employs a language model, specifically OpenAI’s model, integrated with Langchain nodes, to generate responses based on user input. As conversations progress, the workflow captures and maintains chat context using a memory buffer. The AI agent processes the conversation, and key information is subsequently used to update a Notion database, ensuring information is stored and organized efficiently. This setup is ideal for creating interactive chatbots that can log interactions in Notion for tracking, analysis, or task management.
Automated AI-Driven Notion Updates via Chatbot
Node Count | 6 – 10 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, notionTool, stickyNote |
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