RAG Knowledge Chatbot: OpenAI, Google Drive & Supabase
Build a smart RAG chatbot that queries your Google Drive PDFs using OpenAI embeddings stored in Supabase for accurate, context-aware responses.
This n8n workflow creates a Retrieval-Augmented Generation (RAG) chatbot that ingests PDFs from Google Drive, chunks and embeds them using OpenAI, and stores vectors in Supabase for semantic search. When users ask questions, it retrieves relevant document chunks, augments OpenAI prompts, and generates precise answers with optional PostgreSQL chat memory for conversation continuity.
Key benefits include eliminating manual document searches, providing instant answers from proprietary knowledge ba
Platform
n8n
Category
CRM - Sales
Price
$24.99
Creator
Jose Maurino
RAG
Chatbot
OpenAI
Google Drive
Supabase
Vector DB
AI Knowledge Base
PDF Ingestion
Semantic Search
Chat Memory
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.