RAG Chatbot: Google Drive Docs to GPT-5 & Supabase Vector DB

Automates ingestion of Google Drive documents via OCR, chunks and embeds them into Supabase vector DB, enabling natural language queries with GPT-5 and persistent chat memory.

This advanced n8n workflow creates a complete RAG (Retrieval-Augmented Generation) pipeline for transforming documents from Google Drive into a searchable AI knowledge base. New files in a designated folder are automatically detected, processed with Mistral AI for OCR text extraction (including tables), intelligently chunked (one page per chunk for optimal context), embedded using OpenAI models, and stored in Supabase vector database for semantic search. When querying, the workflow retrieves re
Platform
n8n
Category
Media & Entertainment
Price
$24.99
Creator
Bryce Yu

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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