Run AI Workflows Locally with n8n + Ollama (No API Costs)
This article explains how to set up a local AI workflow using the open-source tools n8n and Ollama, allowing you to run AI models without incurring API costs from services like OpenAI.
Why it matters
This approach allows developers to leverage AI capabilities in their workflows without incurring API costs or relying on external services, making it a cost-effective and privacy-preserving solution.
Key Points
- 1Use n8n, an open-source workflow automation tool, to connect to Ollama, a local LLM runner
- 2Install Ollama, which supports various open-source AI models, and pull a model like phi3 or mistral
- 3Configure n8n to make HTTP requests to the Ollama API endpoint to generate AI-powered responses
- 4Build a text summarization workflow as an example, where n8n receives text and returns an AI-generated summary
Details
The article demonstrates how to set up a local AI workflow using n8n and Ollama, which allows you to run AI models without incurring API costs from cloud-based services like OpenAI. Ollama is a simple-to-install local LLM (Large Language Model) runner that exposes an OpenAI-compatible API. By connecting n8n to Ollama, you can build workflows that leverage AI capabilities, such as text summarization, without relying on external APIs. The article walks through the steps to install Ollama, pull an AI model, and configure n8n to interact with the Ollama API. It provides a detailed example of building a text summarization workflow, showcasing how to use the HTTP Request node in n8n to send prompts to Ollama and retrieve the generated summaries.
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