Google Drive to Supabase Vector DB Sync for RAG Apps
Automatically syncs Google Drive files to a contextual vector database in Supabase for RAG applications. Extracts text, chunks it, enriches with metadata, generates OpenAI embeddings, and updates on changes.
This n8n workflow automates the synchronization of documents from Google Drive to a Supabase vector database, optimized for Retrieval-Augmented Generation (RAG) applications. When a file is added or modified in a specified Google Drive folder, the workflow triggers to extract textual content, split it into manageable chunks, and enrich each chunk with contextual metadata such as summaries, document details, and timestamps. Embeddings are then generated using OpenAI models, enabling semantic sear
- Platform
- n8n
- Category
- Commerce
- Price
- $24.99
- Creator
- Fred Garcia
- RAG
- Vector Database
- Supabase
- Google Drive
- OpenAI
- Embeddings
- AI Automation
- Data Sync
- Retrieval
- Chunking
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.
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