Private Local Ollama Self-Hosted AI Chat Assistant
Create a fully private chat interface in n8n using local Ollama models like Llama 3.2, with zero cloud dependencies for secure AI conversations.
This workflow turns your self-hosted n8n instance into a powerful, privacy-focused AI chat assistant powered by Ollama. When a chat message is received via the Chat Trigger node, it processes the input through a Basic LLM Chain that formats prompts and leverages the Ollama Model node for local inference. Responses are returned as structured JSON, ensuring clean, parseable outputs without any preamble.
Key benefits include complete data sovereignty—no data leaves your infrastructure—making it ideal for sensitive applications. Error handling via 'continueErrorOutput' keeps the workflow robust, and it's compatible with any Ollama-supported model. This setup saves time on building custom chat UIs while integrating seamlessly with n8n's automation ecosystem.
Use cases span internal team chats, customer support bots on private servers, research tools, or prototyping AI agents. It's perfect for developers prioritizing security, cost savings (no API fees), and customization, providing a foundation for advanced AI-powered automations.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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