Interactive Supabase RAG Chatbot for Knowledge Base

This n8n workflow builds an interactive knowledge base chatbot leveraging Retrieval-Augmented Generation (RAG) with Supabase. It ingests files from Google Drive (PDFs, DOCX, TXT, XLSX, CSV, Sheets), extracts content, generates embeddings, and stores in Supabase for vector search, enabling accurate AI responses via chat. Key benefits include automating file ingestion to eliminate manual work, handling duplicates and errors for data integrity, supporting text and tabular data, and integrating sea