Hey n8n community! ![]()
I just published a new template that allows you to implement Retrieval-Augmented Generation (RAG) using data from your GLPI Knowledge Base, fully integrated into an n8n workflow.
With this template, you can:
Extract and index articles from your GLPI Knowledge Base
Use an LLM to generate smart, contextual answers based on user questions
Automate the process with no-code / low-code power of n8n
Easily adapt it for internal bots, helpdesk assistants, or self-service support
Perfect for IT teams already using GLPI and looking to bring AI into their support workflows without building everything from scratch.
Let me know what you think or if you have any ideas to improve it!
Happy to collaborate or answer any questions. ![]()