Automate Document-Based AI Queries with Google Drive and Supabase
Transform your Google Drive documents into a searchable knowledge base with AI-powered responses using Supabase and OpenAI. This workflow automates the ingestion, processing, and querying of documents for instant, context-aware answers.
This workflow leverages the power of Retrieval-Augmented Generation (RAG) to convert documents stored in Google Drive into a robust, searchable knowledge base. By automatically extracting text from new files, generating vector embeddings, and storing them in Supabase, it enables fast semantic searches. Users can query the database using natural language, receiving precise answers from OpenAI's advanced model. The workflow also maintains chat history for coherent conversations, making it ideal fo
- Platform
- n8n
- Category
- AI
- Price
- $14.99
- Creator
- Sarah Chen
- set
- gmail
- slack
- splitOut
- telegram
- mistralAi
- stickyNote
- googleDrive
- gmailTrigger
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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