This n8n workflow creates an intelligent chatbot that leverages OpenAI’s GPT-4 model and Notion’s database to provide dynamic, accurate answers based on stored knowledge. When a user sends a message, the workflow extracts relevant information from a designated Notion database and uses AI to generate meaningful responses in real-time. Key nodes include a chat trigger, a connection to OpenAI’s GPT for natural language processing, and multiple Notion API interactions enabling database querying and content retrieval. The workflow also incorporates a memory buffer to maintain context during conversations, ensuring responses are coherent and contextually relevant. This setup is ideal for building support chatbots, internal knowledge bases, or FAQ assistants that dynamically fetch and utilize organizational information stored in Notion.
AI-Powered Notion Database Knowledge Base Assistant
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.toolHttpRequest, notion, set, stickyNote |
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