Chat with documents via RAG: Google Drive to GPT-5 with Supabase vector database

About This Workflow

What This Workflow Does

This n8n automation workflow enables users to convert documents from Google Drive into a searchable knowledge base by leveraging GPT-5 and a Supabase vector database. It facilitates a chat-based interface for querying and accessing stored information. The workflow automates the ingestion and querying of document data, making it a powerful tool for knowledge management.

Who Should Use This

This workflow is ideal for developers, marketers, and business owners looking to create an internal wiki or knowledge base that can be accessed and searched through a chat interface. It's particularly useful for organizations with large amounts of document data that need to be made easily accessible to team members.

Key Features

• Document Ingestion: Automates the process of importing documents from Google Drive into the Supabase vector database.
• GPT-5 Integration: Enables users to query and search the knowledge base using a chat-based interface powered by GPT-5.
• Vector Database Storage: Utilizes a Supabase vector database to store and organize document data for efficient searching and retrieval.
• Multimodal AI: Leverages GPT-5's multimodal capabilities to provide accurate and relevant search results.

How to Get Started

To use this workflow, simply import it into your n8n instance and customize the workflow settings to connect with your Google Drive and Supabase accounts. Follow the workflow's instructions to configure the GPT-5 integration and Supabase vector database settings to get your knowledge base up and running.