Create a self-updating RAG chatbot with Google Drive, Gemini, and Supabase
This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specific Google Drive fo...
Template notes
This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specific Google Drive folder, and it automatically keeps its knowledge base up-to-date as you add, update, or remove files.
Who’s it for?
This workflow is perfect for developers, businesses, and AI agencies looking to:
Create an internal knowledge base chatbot for employees (e.g., for HR policies, technical documentation, or project information).
Build an intelligent support agent that uses your company's official documents as its source of truth.
Develop advanced AI solutions for clients that require a self-maintaining knowledge base.
How it works?
This workflow is divided into three distinct, powerful systems: