Integrating AI with Open-Meteo API for Enhanced Weather Forecasting

Integrating AI with Open-Meteo API for Enhanced Weather Forecasting Use case Workshop We are using this workflow in our workshops to teach how to use Tools a.k.a functions with artificial intelligence. In this specific case, we will use a generic "AI Agent" node to illustrate that it could use other models from different data providers. Enhanced Weather Forecasting In this small example, it's easy to demonstrate how to obtain weather forecast results from the Open-Meteo site to accurately dis

Integrations Used (5)

Chat

Lmchatopenai

Agent

Memorybufferwindow

Toolhttprequest

Workflow Structure (6 nodes)

100%

Langchain.chat Trigger

When chat message received

Langchain.agent

Generic AI Tool Agent

Langchain.memory Buffer Window

Chat Memory Buffer

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.tool Http Request

A tool for inputting the city and obtaining geolocation

Langchain.tool Http Request

A tool to get the weather forecast based on geolocation

Node Types:

trigger

default

http

Requires credentials

Prerequisites

Required Credentials (1)

OpenAI

Used by: OpenAI Chat Model

Docs

Complexity

Simple

Great for beginners. Few nodes, straightforward setup.

Setup time: ~15 min

Score: 15/100

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

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  "tags": [],
  "nodes": [
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      "id": "80debfe0-c591-4ba1-aca1-068adac62aa9",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
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...