Telegram AI Assistant for Multilingual Metadata Generation

Name: Telegram AI Assistant for Multilingual Metadata Generation
Rating: 5 (5 reviews)
Author: Free N8N

Beginner

9 nodes connected

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AI & Automationaimetadatamultilingualopenaitelegram

Automate the generation of structured metadata in both English and Chinese using a Telegram bot and OpenAI.

About This Workflow

This workflow leverages n8n to create an intelligent Telegram bot capable of processing user messages and generating structured metadata. It utilizes OpenAI's language models to understand user input and produce outputs in both English and Chinese, facilitating multilingual content creation and management.

Key Features

Real-time message processing via Telegram.
Advanced natural language understanding and generation with OpenAI.
Automatic generation of metadata in English and Chinese.
Flexible metadata structure based on AI model output.
Seamless integration with Telegram for user interaction.

How To Use

Telegram Trigger: Configure the Telegram Trigger node to receive messages from your Telegram bot.
AI Agent: The AI Agent node processes the incoming Telegram message. The text parameter can be customized to define the prompt for the AI. In this example, it's set to Respond to this as a helpful assistant with emojis: {{ $json.message.text }}. This node is connected to the OpenAI Chat Model for language processing.
OpenAI Chat Model: This node provides the language model capabilities for the AI Agent.
Telegram: The Telegram node sends the AI-generated output back to the user via the Telegram chat. The text parameter is set to ={{ $json.output }} to capture the AI's response, and chatId is dynamically retrieved from the incoming Telegram message.

Apps Used

metadata

multilingual

openai

Workflow JSON

{
  "id": "71f0d4c1-7203-4f0d-b976-bd04dcef3a7a",
  "name": "Telegram AI Assistant for Multilingual Metadata Generation",
  "nodes": 9,
  "category": "AI & Automation",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.