Automated Chat Response with Ollama and n8n

This n8n workflow automates chat interactions by leveraging the Ollama LLM. It begins with a webhook trigger that captures incoming chat messages, which are then processed through a language model chain. The core component uses the Ollama Llama 3.2 model to generate context-aware responses, structured into a JSON object for clarity. In case of errors during processing, a fallback response ensures users receive feedback, maintaining a seamless conversational experience. This workflow is ideal for creating chatbot interfaces, customer support automation, or any scenario requiring intelligent, automated text responses.