Block 1 - Google Gemini Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Automate Telegram Chat Responses Using Google Gemini By WeblineIndia TL;DR (Quick Steps) 1. Create a Telegram bot using [@BotFather](https://t.me/BotFathe...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote, n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by WeblineIndia.
Original n8n.io sourceBy WeblineIndia
This n8n workflow enables seamless automation of real-time chat replies in Telegram by integrating with Google Gemini's Chat Model. Every time a user sends a message to your Telegram bot, the workflow routes it through the Gemini AI, which analyzes and crafts a professional response. This reply is then automatically delivered back to the user.
The setup acts as a lightweight but powerful chatbot system โ ideal for businesses, customer service, or even personal productivity bots. You can easily modify its tone, intelligence level, or logging mechanisms to cater to specific domains such as sales, tech support, or general Q&A.
The primary goal of this workflow is to automate intelligent, context-aware chat responses in Telegram using a robust AI model. It eliminates manual reply handling, enhances user engagement, and ensures 24/7 interaction capabilities โ all through a no-code or low-code setup using n8n.
Telegram, Basic LLM Chain, and Google Gemini support).{{$json.message.text}}) from the Telegram Trigger.models/gemini-1.5-pro).HTML for rich formatting.Receive Telegram Message โ Generate AI Response โ Send Telegram Reply.> Tip: Test the workflow by sending a message to your Telegram bot and ensure you receive an AI-generated reply.
HTML.> And many more! This workflow can be easily extended to support advanced use cases with just a few additional nodes.
This workflow is developed by WeblineIndia, a trusted provider of AI development services and process automation solutions.
If you're looking to build or customize intelligent workflows like this, we invite you to get in touch with our team. We also offer specialized Python development and AI developer hiring services to supercharge your automation needs.
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.
| Workflow | Automate Telegram chat responses using Google Gemini |
|---|---|
| Complexity | intermediate |
| Nodes | 6 |
| Categories | AI, AI Chatbot |
| Author | WeblineIndia |
| Published | 17 Jan 2025 |
Use the JSON export at /data/workflows/2743/2743.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.
Automate Telegram Chat Responses Using Google Gemini By WeblineIndia TL;DR (Quick Steps) 1. Create a Telegram bot using [@BotFather](https://t.me/BotFathe...
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 AI, AI Chatbot use case.