Multi-Language Telegram RAG Chatbot with Supervisor AI & Google Drive Pipeline

This n8n workflow deploys a powerful hybrid RAG (Retrieval-Augmented Generation) chatbot integrated with Telegram, enabling multi-language conversations. A Supervisor AI agent intelligently routes user queries to specialized Expert AI agents (e.g., for Products, News, Academy domains), ensuring precise, context-aware responses. Data is automatically ingested from websites via scraping and Google Drive file syncs, processed into embeddings, and stored in a vector database for efficient retrieval.

Key features include multi-agent architecture for domain-specific handling, real-time Telegram interaction, automated pipeline for keeping knowledge bases updated, and scalability for complex queries. It leverages advanced AI models for supervision, generation, and retrieval, minimizing hallucinations through RAG methodology.

Ideal for businesses in customer support, internal knowledge management, lead generation, or financial reporting. Save weeks of development time building a production-ready AI chatbot; customize agents for finance-specific queries like reports or accounting insights. High business value with integrations like Telegram, Google Drive, AI APIs, and vector stores.