This n8n workflow integrates OpenAI’s language models with the Open-Meteo API to create an intelligent weather forecasting system. It begins with a webhook trigger that receives user messages, typically asking for weather updates for specific cities. The workflow then guides the AI to interpret the request and determine whether to fetch geolocation data or weather forecasts. Using HTTP requests, it first obtains geographic coordinates of a city based on user input, then retrieves weather forecasts for the specified period. The process is designed to run seamlessly within a chatbot or web interface, enabling real-time, accurate weather insights. This setup is ideal for enhancing travel planning, event scheduling, or as part of a customer service bot that provides weather updates dynamically.
AI-Powered Weather Forecasting Workflow for WordPress
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, stickyNote |
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