Build a comprehensive multimodal assistant on Telegram with OpenAI, SERP and Vector Store

J.A.R.V.I.S.

Multimodal AI assistant on Telegram with OpenAI

This workflow transforms your Telegram bot into J.A.R.V.I.S., a powerful, multimodal AI assistant. It can understand and process text, voice messages, images, and documents. The assistant can search the web, scrape websites, generate images, perform calculations, and reference uploaded documents to provide comprehensive and context-aware responses in either text or audio format.

🧑‍💻 Who’s it for

This workflow is for developers, AI enthusiasts, and businesses who want to create an advanced, interactive AI assistant on Telegram. It’s perfect for automating customer support, creating a personal AI helper, or exploring the capabilities of multimodal large language models (LLMs) in a practical application.

⚙️ How it works

The workflow begins when a message is received by your Telegram bot. A Switch node then directs the data based on the message type:

Text: The message is formatted and sent directly to the main AI agent. Voice: The audio file is downloaded from Telegram and transcribed into text using the OpenAI API. Image: The image is downloaded and analyzed by an OpenAI vision model to understand its content. Document: The file is downloaded and its content is stored in a temporary vector store, making it searchable for the AI.