Unlock Advanced Weather Insights with AI-Powered Forecasting
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Integrate the power of AI with real-time weather data from Open-Meteo to provide highly accurate and context-aware weather forecasts. This workflow enables intelligent querying for precise weather information, perfect for applications like travel planning and event management.
About This Workflow
This n8n workflow demonstrates a sophisticated integration of AI with the Open-Meteo API for enhanced weather forecasting. It leverages Langchain's capabilities to create an intelligent agent that can understand natural language weather queries. The workflow first uses an AI model to determine the user's intent and then intelligently calls the appropriate tools. It can find the geographic coordinates of a city and subsequently fetch detailed weather forecasts. This allows for dynamic and precise weather information retrieval, enabling users to ask questions like 'What's the weather forecast for the next 7 days in São Paulo?' and receive accurate, data-driven responses.
Key Features
- Intelligent AI Agent: Understands natural language queries for weather information.
- Automated Tool Selection: Dynamically chooses between geolocation and weather forecast tools.
- Open-Meteo Integration: Seamlessly fetches weather data via API.
- Configurable Forecasts: Specify number of days and weather parameters for the forecast.
- Real-time Data: Provides up-to-date weather predictions.
How To Use
- Set up Chat Trigger: Configure the 'When chat message received' node to create a hosted web chat endpoint.
- Connect OpenAI: Ensure your OpenAI API key is set up and configured in the 'OpenAI Chat Model' node.
- Configure AI Agent: Utilize the 'Generic AI Tool Agent' node to define the AI's capabilities and connect it to the tools.
- Define Geolocation Tool: Set up the 'A tool for inputting the city and obtaining geolocation' (httprequest node) to fetch city coordinates from Open-Meteo's geocoding API.
- Define Weather Forecast Tool: Configure the 'A tool to get the weather forecast based on geolocation' (httprequest node) to retrieve detailed weather data using latitude, longitude, and forecast days.
- Implement Chat Memory: Use the 'Chat Memory Buffer' node to maintain conversation context.
- Activate Workflow: Once configured, activate the workflow to begin receiving and processing weather queries.
Apps Used
Workflow JSON
{
"id": "eaa101ae-de86-4bf4-90c3-9ddf4f9e8714",
"name": "Unlock Advanced Weather Insights with AI-Powered Forecasting",
"nodes": 27,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: eaa101ae-de86...
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