This n8n workflow integrates AI with the Open-Meteo API to deliver accurate weather forecasts based on user input. It starts with a webhook trigger for chat messages where users specify a city. The workflow then utilizes a language model node to interpret the user’s request. It retrieves the city’s geolocation using Open-Meteo’s geocoding API, extracting latitude and longitude. Subsequently, it makes a second API call to Open-Meteo’s forecast endpoint, providing the geolocation and forecast duration to obtain detailed weather data for upcoming days. The process allows conversational interaction for weather planning, making it highly useful for travel, event planning, or daily routines. This workflow demonstrates how AI can intelligently orchestrate multiple service calls to deliver contextually relevant data within a chat interface.
AI-Enhanced Weather Forecast via Open-Meteo API
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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