Automate Document-Based Chat with Ollama, Supabase, and Google Drive

This complex workflow integrates multiple services to create a robust Retrieval-Augmented Generation (RAG) AI agent. It monitors a Google Drive folder for new or updated files, processes various document formats, and stores embeddings in a Supabase Vector DB. The chat interface, powered by Ollama, uses these embeddings to provide context-aware responses, with memory stored in PostgreSQL for continuity. The workflow supports multi-format files and handles real-time document updates, ensuring accu