Telegram Multi-Media AI Bot with Gemini & PostgreSQL

This advanced n8n workflow creates a sophisticated Telegram AI assistant that excels at handling multi-file media groups sent together. It uses PostgreSQL databases to manage media queues, group files by chat, and maintain conversation histories, solving Telegram's challenge of processing bundled media coherently. Files are intelligently parsed—transcribing voice/video, describing images/audio, and extracting content from documents like PDF, CSV, HTML, JSON, and more—with AI fallbacks for unsupported formats.

Powered by Gemini AI, the bot analyzes all processed content to generate insightful, context-aware responses. Responses are formatted in Telegram-safe MarkdownV2, auto-split if exceeding 4096 characters, ensuring reliable delivery. Error handling gracefully manages unsupported files, providing user-friendly fallbacks.

Ideal for customer support, virtual assistants, or content analysis bots, this workflow saves hours of manual processing. It integrates seamlessly with Telegram webhooks, PostgreSQL, and Gemini, offering scalability for high-volume chats. Benefits include reduced development time, robust multi-modal support, and database-driven persistence for production use.