The Solution Architecture:

1. Document Ingestion: Source documents from Google Drive are processed and chunked into manageable segments

2. Vector Embedding: AI models convert document chunks into numerical representations (vectors) that capture semantic meaning

3. Supabase Storage: Vectors and document metadata are stored efficiently in Supabase's database

4. Intelligent Retrieval: Natural language queries are converted to vectors and matched against the database

5. Database Updates: Conversational interfaces allow authorized users to update information without direct database access