Multi-Modal AI Memory Assistant with Telegram and MongoDB

This advanced n8n workflow creates a multi-modal AI assistant that intelligently processes and stores information from various input types including voice messages, images, documents, and text received via Telegram. The workflow’s primary goal is to ingest and analyze multimedia data, convert it into searchable formats, and store it in MongoDB for quick retrieval. When a user poses a question, the AI leverages GPT-4o and a vector search in MongoDB to recall relevant past interactions, providing contextually accurate responses. Additionally, the AI can interact with Gmail, enabling it to send or search emails based on user requests. Practical applications of this workflow include digital assistants, customer support bots, and intelligent record-keeping systems that require multimodal data understanding and retrieval.