Deepseek_Model

★ 6.9 · n8n · simple · 4 nodes

Deepseek_Model is an n8n automation template that connects a Chat trigger to a locally running DeepSeek language model via Ollama. Reach for it when you want a private AI assistant that keeps all data on your own infrastructure, when you need to test DeepSeek in a conversational interface without cloud API costs, or when building an internal chatbot without relying on OpenAI or other external providers. The workflow is triggered by an incoming chat message and routes it to Ollama, which runs DeepSeek locally and returns the generated response. Trigger: Chat. Integrations: Ollama. To run it you need a self-hosted n8n instance and a reachable Ollama server with the DeepSeek model already pulled. The direction here is text generation from a local model — not message routing or inbox sorting (other catalog workflows cover those cases). Suitable for teams or individuals with self-hosted infrastructure where data privacy is a hard requirement; not suitable if Ollama is unavailable or the DeepSeek model has not been installed locally.