This n8n workflow creates an interactive AI chatbot integrated with multiple language models and tools for dynamic conversations and data retrieval. It features a visually appealing chat interface with a glassmorphism design, allowing users to ask questions, get jokes, search Wikipedia, generate secure passwords, calculate loan payments, and access the latest n8n blog posts. The workflow leverages nodes like chat triggers, language models (Gemini or OpenAI), memory buffers, and utility tools to provide a seamless, context-aware chat experience. Ideal for building intelligent customer support chatbots, interactive assistants, or educational demos, this setup demonstrates the power of combining AI models with practical tools within n8n.
n8n AI Chatbot for Dynamic Interactions and Data Retrieval
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.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolCode, @n8n/n8n-nodes-langchain.toolWikipedia, cryptoTool, dateTimeTool, httpRequestTool, rssFeedReadTool, stickyNote |
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