Seeking Guidance for Specializing GPT Models with n8n Documentation

Hello, n8n Community!

I’m currently working on a project where I aim to specialize GPT models for enhanced performance with n8n-specific tasks and workflows. My goal is to train these models on n8n documentation to better understand and automate processes within the n8n ecosystem.

I’m reaching out to see if anyone here has embarked on a similar journey or has any insights into where I could find comprehensive collections of n8n documentation suitable for training purposes. Specifically, I’m looking for:

  • Detailed guides or tutorials related to n8n.
  • Official documentation dumps or archives.
  • Any user-contributed documentation or notes on n8n workflows, nodes, and functions.
  • Tips or best practices for effectively training GPT models on technical documentation.

Any advice on how to proceed, or pointers to resources within or outside this community, would be greatly appreciated. I’m especially interested in structured formats like JSON, Markdown, or even plain text that could easily be processed for model training.

Thank you in advance for your help and guidance!

1 Like

I’m looking for the same kinds of things.
I found this but don’t know how to use it
GitHub - n8n-io/n8n-docs: Documentation for n8n, a fair-code licensed automation tool with a free community edition and powerful enterprise options. Build AI functionality into your workflows.