This n8n workflow creates an AI-powered assistant capable of answering weather and general knowledge queries through a conversational interface. It leverages tools such as Wikipedia and a weather API combined with a conversation buffer to provide context-aware responses. The workflow begins with a manual trigger, allowing user input, and processes commands using an AI agent. It retrieves relevant information from Wikipedia for general questions and fetches real-time weather data based on location coordinates. The conversation history is stored in a window buffer memory, enabling the agent to maintain context during interactions. This setup is perfect for creating a smart chatbot that can provide weather updates and educational info within WordPress or other platforms.
Intelligent Weather and Wiki Assistant Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOllama, @n8n/n8n-nodes-langchain.manualChatTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, @n8n/n8n-nodes-langchain.toolWikipedia, stickyNote |
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