Extract Google Drive Documents and Build Knowledge Base in Supabase

How it works

1. 1.Trigger automatic document loading from specified Google Drive folder
2. 2.Split text content into manageable chunks for processing
3. 3.Convert text chunks into semantic vectors using OpenAI embeddings
4. 4.Store vectors in Supabase vector database for semantic search
5. 5.Receive user questions through chat interface
6. 6.Retrieve and respond with answers based on stored document content

Use cases

• Build an intelligent assistant that answers employee questions about company policies and procedures from stored documents
• Search and extract precise information from legal documents, compliance reports, or extensive knowledge bases instantly

Requirements

• Google Drive account with full access permissions to target documents
• OpenAI API keys for generating semantic embeddings
• Supabase database configured and ready for vector storage operations

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.