Build a text & image responding Telegram bot with Google Gemini 2.5 Flash

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Telegram AI Bot Workflow An intelligent Telegram bot powered by Google Gemini AI that provides smart responses to both text messages and images. Features Multi Modal Input : Handles both text messa...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.set, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.telegramtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ahmed Sherif.

Original n8n.io source

1.1 Workflow description

Title: Build a text & image responding Telegram bot with Google Gemini 2.5 Flash
Workflow name: Build a text & image responding Telegram bot with Google Gemini 2.5 Flash

Telegram AI Bot Workflow

An intelligent Telegram bot powered by Google Gemini AI that provides smart responses to both text messages and images.

Features

Multi-Modal Input: Handles both text messages and image uploads
AI-Powered Responses: Uses Google Gemini 2.5 Flash for intelligent reply generation
Image Analysis: Automatically analyzes uploaded images and responds with descriptions
Conversation Memory: Maintains context across 20 messages per conversation
Formatted Output: Delivers well-structured, Telegram-friendly responses

How It Works

User sends a message (text or image) to the Telegram bot
Workflow routes the input based on message type
Images are downloaded and analyzed using Gemini Vision AI
AI agent processes the input with conversation context
Formatted response is sent back to the user instantly

Requirements

Telegram Bot Token (from @BotFather)
Google Gemini API Key
n8n instance with webhook capability

Perfect for building interactive AI assistants, customer support bots, or educational tools on Telegram.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Knowledge Base Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 7 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 8 - Map image prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - Map text prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Route Types

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 11 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 12 - Analyze image

Type / Role: @n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices: Version 1

Block 13 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 14 - Get a file

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 15 - Send a text message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

3. Summary Table

Workflow	Build a text & image responding Telegram bot with Google Gemini 2.5 Flash
Complexity	advanced
Nodes	15
Categories	Support Chatbot, AI Chatbot
Author	Ahmed Sherif
Published	04 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9265/9265.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Build a text & image responding Telegram bot with Google Gemini 2.5 Flash do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.

Ahmed Sherif

3 workflows

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.set n8n-nodes-base.switch @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.googlegemini n8n-nodes-base.telegramtrigger

Complexity

advanced

Published 04 Oct 2025

Likes 0

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Install path: /data/workflows/9265/9265.json

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Build a text & image responding Telegram bot with Google Gemini 2.5 Flash

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Telegram AI Bot Workflow

Features

How It Works

Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - Sticky Note4

Block 6 - Knowledge Base Agent

Block 7 - Simple Memory

Block 8 - Map image prompt

Block 9 - Map text prompt

Block 10 - Route Types

Block 11 - Google Gemini Chat Model

Block 12 - Analyze image

Block 13 - Telegram Trigger

Block 14 - Get a file

Block 15 - Send a text message

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions