AI-Powered Weather Forecasting with Open-Meteo API
Chat-based AI agent integrates geolocation and Open-Meteo API to deliver precise multi-day weather forecasts for travel planning.
This n8n workflow demonstrates an AI Agent using tools (functions) to enhance weather forecasting. It starts with a chat trigger where users input queries like 'Weather Forecast for [city]'. The AI Agent intelligently calls a geolocation tool via HTTP request to fetch coordinates, then queries the Open-Meteo API for detailed upcoming weather data—all within a single conversation.
Key benefits include seamless AI orchestration of multiple APIs, reducing manual steps for accurate forecasts. It's ideal for workshops teaching LangChain nodes, tool usage with models like OpenAI, and real-world automation. No coding required beyond setting an OpenAI key.
Use cases span travel planning (e.g., trip decisions based on forecasts), customer service chatbots for weather info, or extending to apps needing dynamic weather insights. Created for educational purposes by Davi Saranszky Mesquita, it showcases n8n's power in AI-driven automations with public webhook for easy testing.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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