This n8n workflow creates an intelligent AI chatbot that engages in conversations, remembers dialogue context, and stores interactions in a Supabase database. It begins with a webhook trigger to start the chat, utilizes OpenAI’s language model via Langchain to generate responses, accesses a smart AI agent for processing, and maintains conversation history through memory buffers. The completed interactions are saved into a Supabase database for future analysis or retrieval. This workflow is ideal for deploying advanced, context-aware chatbots on websites or platforms requiring persistent conversation data.
AI-Powered Chatbot with Memory & Database Integration
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, stickyNote, supabaseTool |
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