This n8n workflow creates an intelligent chat interface leveraging the Ollama Llama 3.2 language model. It is triggered by incoming chat messages, which are processed through a chain that calls the Ollama model for generating responses. The workflow captures the user’s prompt, formats the response into a structured JSON object, and handles errors gracefully to ensure consistent user feedback. Ideal for integrating AI-driven chatbots into websites or customer support systems, this workflow streamlines conversational automation with advanced language processing.
AI Chatbot Workflow with Ollama Llama 3.2 Model
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmOllama, set, stickyNote |
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