Multi-Modal Telegram Support Bot with GPT-4 & Supabase RAG

This n8n workflow creates a multi-modal AI support bot for Telegram that processes text, documents, images, and audio messages. It uses OpenAI models like GPT-4 to interpret inputs, extracts data dynamically, and leverages a Supabase vector database for RAG to retrieve relevant context from your knowledge base, delivering accurate, human-like replies.

Key benefits include support for diverse input formats beyond basic text, improved response relevance through vector embeddings, and seamless automation for customer support. It saves time by automating complex interactions, reducing manual oversight, and scaling to handle high volumes.

Ideal for businesses automating Telegram support, freelancers building AI chatbots, creators managing FAQs/docs/policies, and devs exploring AI with multi-format RAG. First, use the companion 'Add to Supabase Vector DB' workflow to embed your Google Drive documents, then deploy this bot for instant, intelligent responses.