Build an AI-Driven Chat Workflow in n8n | Real-Time Weather Data with OpenAI & OpenWeatherMap

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In this video, we walk you through how to build a cutting-edge chat workflow in n8n that fetches real-time weather data and responds intelligently to user queries. Learn how to integrate AI-driven nodes with external APIs to create a fully automated system that understands and replies to questions like “What is the weather in Mumbai today?” 🤖🌤️

What’s Covered in This Video:

🔹 Chat Trigger & Context Management:
Discover how the Chat Message Received node and Window Buffer Memory node work together to capture user input, maintain conversation context, and handle follow-up questions seamlessly.

🔹 AI Agent Orchestration:
See how the AI Agent node determines when to call the weather service and orchestrates data flow between nodes for a natural and engaging interaction.

🔹 Weather API Integration:
Learn how to extract and reformat location data, then use the OpenWeatherMap node to retrieve accurate, real-time weather details such as temperature, humidity, wind speed, and weather descriptions.

🔹 Data Consolidation & Response Transformation:
Follow along as two OpenAI nodes first consolidate weather data into a structured format and then refine it into a friendly, emoji-enhanced message for the user.

🔹 Final Workflow Assembly:
Understand how the polished response is mapped back to your main chat workflow and displayed to the user via the OpenAI Chat Model node.

Whether you’re a developer looking to integrate live weather updates into your projects or an automation enthusiast eager to explore n8n’s powerful capabilities, this tutorial has you covered. Stay tuned for more advanced customizations and workflow ideas! 🚀✨

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