Create An Interactive AI Chatbot with Live Data Access

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This workflow demonstrates how to build an AI-powered chat agent in n8n that interacts with users via a web chat interface. It can fetch live weather updates, news headlines, and perform actions such as sending emails or accessing calendars, making it a powerful tool for automation and customer engagement. The setup includes nodes for initiating conversations, integrating with Google Gemini (or other language models), and utilizing tools for real-time data retrieval from sources like weather APIs and RSS feeds. This workflow is ideal for creating responsive AI chatbots for websites that need to provide visitors with dynamic, up-to-date information and automate routine tasks.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequestTool, rssFeedReadTool, stickyNote

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