Integrating AI with Open-Meteo API for Enhanced Weather Forecasting
This workflow combines AI language models with the Open-Meteo weather forecast API to provide intelligent weather inquiry and forecasting services. Users can simply enter the city name and their requirements through a chat interface, and the AI will automatically obtain the geographic coordinates and retrieve weather information, generating accurate weather forecast responses. This process significantly simplifies the traditional weather inquiry operations, enhances interaction efficiency, and is suitable for various scenarios such as smart customer service, travel planning, and education and training, meeting users' needs for real-time weather information.
Workflow Name
Integrating AI with Open-Meteo API for Enhanced Weather Forecasting
Key Features and Highlights
This workflow integrates OpenAI’s language model with Open-Meteo’s weather forecast API to deliver intelligent weather query and prediction capabilities. Users simply input the city name and their request via a chat interface, and the AI agent automatically invokes two tools: geographic location lookup and weather forecast retrieval. This completes the entire process from obtaining geographic coordinates to providing future weather information, offering a natural, intelligent, and accurate weather consultation experience.
Core Problems Addressed
Traditional weather queries often require users to manually visit multiple websites or apps to find geographic and weather information, resulting in a cumbersome process and poor real-time interactive experience. This workflow leverages AI to automatically determine the call sequence and parameters, simplifying operational steps, improving query efficiency, and enhancing interaction quality—especially suitable for conversational intelligent assistant scenarios.
Application Scenarios
- Embedding weather query functionality in intelligent customer service or chatbots
- Travel planning assistance, enabling users to check future weather conditions at destinations in advance
- Educational and training workshops demonstrating how to combine AI and APIs for complex toolchain invocation
- Any business system or personal assistant requiring rapid access to weather information
Main Process Steps
- The user triggers a weather query via chat (e.g., “Weather in São Paulo for the next 7 days”).
- The AI chat model receives the request and calls the “City Geolocation Lookup” API (Open-Meteo Geocoding API) to obtain the target city’s coordinates.
- Using the obtained coordinates, it calls the “Weather Forecast Query” API (Open-Meteo Weather API) to retrieve weather data for the specified days.
- The AI generates a friendly and accurate weather forecast reply based on the returned data and responds to the user.
- The chat memory module helps maintain conversational context, supporting continuous dialogue.
Involved Systems or Services
- OpenAI Chat Model: Provides natural language understanding and dialogue generation capabilities
- Open-Meteo Geocoding API: https://geocoding-api.open-meteo.com, used for converting city names into geographic coordinates
- Open-Meteo Weather Forecast API: https://api.open-meteo.com/v1/forecast, used to obtain weather data
- n8n Chat Trigger Node and Built-in AI Agent Node: Enable workflow connection and automated invocation
- Chat Memory Buffer: Maintains conversation context to enhance interaction coherence
Target Users and Value
- Developers and automation enthusiasts seeking to quickly learn and practice AI and API integration techniques
- Enterprises or teams aiming to embed intelligent weather query features into their products to improve user experience
- Travelers, outdoor event organizers, and decision-makers who require accurate weather information
- Educational and training institutions demonstrating AI toolchain invocation and conversational automation cases
This workflow, designed by Davi Saranszky Mesquita, showcases how to leverage the n8n platform to combine AI with open APIs for an intelligent and automated weather forecasting solution. Users only need to configure their OpenAI key and activate the workflow to experience a complete intelligent weather query process.