Chat with Internal Documents: Ollama RAG + Supabase + Google Drive

This n8n workflow creates a conversational AI interface to query internal documents using Retrieval-Augmented Generation (RAG). It automatically ingests files from a Google Drive folder, supporting PDFs, Excel, Google Docs, and text files. Content is extracted, preprocessed, split into chunks, embedded via Ollama, and stored in Supabase Vector DB for efficient semantic retrieval. Old embeddings are purged on updates for accuracy. The chat agent, triggered by webhook or interface, uses Ollama LL