Telegram research assistant for academic papers using Gemini AI and Decodo

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Important notice

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

1. Workflow Overview

AI Research Assistant Using Gemini AI and Decodo Sign up for Decodo HERE for Discount This workflow transforms your Telegram bot into a smart academic research ...

Best for

Document Extraction automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@decodo/n8n-nodes-decodo.decodotool, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.telegram, n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Telegram research assistant for academic papers using Gemini AI and Decodo
Workflow name: Telegram research assistant for academic papers using Gemini AI and Decodo

AI Research Assistant Using Gemini AI and Decodo

This workflow transforms your Telegram bot into a smart academic research assistant powered by Gemini AI and Decodo. It analyzes queries, interprets URLs, scrapes scholarly data, and returns concise summaries of research papers directly in chat.

Who’s it for?

For researchers, students, and AI enthusiasts who want to search and summarize academic content via Telegram using Google Scholar and arXiv.

How it works

The Telegram bot captures text, voice, or image messages.
Gemini models interpret academic URLs and user intent.
Decodo extracts paper details like titles, abstracts, and publication info.
The AI agent summarizes results and delivers them as text or file (if too long).

How to set up

Add your Telegram bot credentials in the Start Telegram Bot node.
Connect Google Gemini and Decodo API credentials.
Replace {{INPUT_SEARCH_URL_INSIGHTS}} placeholder on Research Summary Agent's system message with your search URL insights (or use the pinned example).
Test by sending a text, image, or voice message to your bot.
Activate the workflow to run in real-time.

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 - Decodo

Type / Role: @decodo/n8n-nodes-decodo.decodoTool - decodoTool
Config choices: Version 1

Block 2 - Simple Memory

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

Block 3 - Send Fallback Text

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

Block 4 - Start Telegram Bot

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

Block 5 - Detect Message Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.3

Block 6 - Download Telegram Photo

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

Block 7 - Download Telegram Voice

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

Block 8 - Analyze Image Content

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

Block 9 - Transcribe Voice Message

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

Block 10 - Format Image Text

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

Block 11 - Format Voice Text

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

Block 12 - Prepare Chat Data

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

Block 13 - Research Summary Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 14 - Gemini URL Interpreter

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

Block 15 - Gemini Research Model

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

Block 16 - Check Telegram Message Length

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 17 - Convert Output to Text File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 18 - Send Research Summary File

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

Block 19 - Send Research Summary Message

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

Block 20 - Sticky Note

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

Block 21 - Generate Search URL Insights

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 22 - Define Search URLs

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

Block 23 - Sticky Note2

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

Block 24 - Sticky Note7

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

Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Telegram research assistant for academic papers using Gemini AI and Decodo
Complexity	advanced
Nodes	26
Categories	Document Extraction, AI RAG
Author	Fahmi Fahreza
Published	21 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9966/9966.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 Document Extraction workflows AI RAG workflows

Frequently asked questions

What does Telegram research assistant for academic papers using Gemini AI and Decodo do?

AI Research Assistant Using Gemini AI and Decodo Sign up for Decodo HERE for Discount This workflow transforms your Telegram bot into a smart academic research ...

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 Document Extraction, AI RAG use case.

Fahmi Fahreza

19 workflows

Nodes

@decodo/n8n-nodes-decodo.decodotool @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.telegram n8n-nodes-base.telegramtrigger n8n-nodes-base.switch @n8n/n8n-nodes-langchain.googlegemini n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 21 Oct 2025

Likes 0

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Install path: /data/workflows/9966/9966.json

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Telegram research assistant for academic papers using Gemini AI and Decodo

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI Research Assistant Using Gemini AI and Decodo

Who’s it for?

How it works

How to set up

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Decodo

Block 2 - Simple Memory

Block 3 - Send Fallback Text

Block 4 - Start Telegram Bot

Block 5 - Detect Message Type

Block 6 - Download Telegram Photo

Block 7 - Download Telegram Voice

Block 8 - Analyze Image Content

Block 9 - Transcribe Voice Message

Block 10 - Format Image Text

Block 11 - Format Voice Text

Block 12 - Prepare Chat Data

Block 13 - Research Summary Agent

Block 14 - Gemini URL Interpreter

Block 15 - Gemini Research Model

Block 16 - Check Telegram Message Length

Block 17 - Convert Output to Text File

Block 18 - Send Research Summary File

Block 19 - Send Research Summary Message

Block 20 - Sticky Note

Block 21 - Generate Search URL Insights

Block 22 - Define Search URLs

Block 23 - Sticky Note2

Block 24 - Sticky Note7

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