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.
Related CRM - Sales workflows
- Automate Lead Generation from Google Maps with AI-Enhanced Outreach$19.99
- Automate Lead Scraping and Data Cleaning from Apify to Google Sheets$4.99
- AI-Powered Cold Call Machine with LinkedIn, OpenAI & Sales Navigator$24.99
- Automated Website Data Scraper for CRM Insights$24.99
- Automated Lead Generation from Telegram to Database with AI and Apollo$14.99
- Automate LinkedIn Lead Generation and Enrichment$24.99
More from Jose Maurino
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.