Create a Multi-Language Telegram RAG Chatbot with AI Supervision and Google Drive Automation

This workflow leverages n8n to create a multi-language Retrieval-Augmented Generation (RAG) chatbot integrated with Telegram. It employs a Supervisor AI to delegate queries to specialized AI agents based on the domain, such as news, products, or educational content. The system automates data ingestion from Google Drive and web sources, processes the data into vector embeddings, and stores it in a Supabase vector store for efficient retrieval. This setup ensures dynamic data handling and up-to-date knowledge management.