Block 1 - Receive Message
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
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, v...
n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.code, n8n-nodes-base.stickynote, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by FabioInTech.
Original n8n.io sourceThis 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.
This workflow is for developers, AI enthusiasts, and businesses who want to create an advanced, interactive AI assistant on Telegram. Itβs perfect for automating customer support, creating a personal AI helper, or exploring the capabilities of multimodal large language models (LLMs) in a practical application.
The workflow begins when a message is received by your Telegram bot. A Switch node then directs the data based on the message type:
The processed input is then passed to the core "J.A.R.V.I.S." Agent node. This agent uses an OpenAI model, conversational memory, and a suite of tools (Google Search, Web Scraper, Image Generator, Calculator, and the document vector store) to formulate a response. Finally, the workflow checks if the initial message was a voice note; if so, it generates an audio response. Otherwise, it sends the answer as a text message back to the user.
Receive Message Trigger node and all other Telegram nodes. In the Receive Message node, enter the chatId of the user or group authorized to interact with the bot.Basic Google Search node to enable web search functionality.Webpage Scraper node.OpenAI Chat Model node (e.g., switch from gpt-4.1 to gpt-4o) or in the Analyze Image and Transcribe nodes.J.A.R.V.I.S. Agent node to change its name, tone, instructions, or default language.J.A.R.V.I.S. Agent node to extend its capabilities, such as connecting to a database or another third-party API.If Audio Response node to change the conditions for sending text or audio messages. For example, you could configure it to always respond with text.This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 48 workflow blocks. Download the JSON for the full node graph.
| Workflow | Build a comprehensive multimodal assistant on Telegram with OpenAI, SERP and Vector Store |
|---|---|
| Complexity | advanced |
| Nodes | 48 |
| Categories | Support Chatbot, AI Chatbot |
| Author | FabioInTech |
| Published | 01 Aug 2025 |
Use the JSON export at /data/workflows/6813/6813.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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, v...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.