Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase

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1. Workflow Overview

️ How It Works: System Architecture Workflow ini bekerja melalui empat lapisan proses utama yang terintegrasi secara otomatis: 1. Input Processing & Routing Telegram Trigger: Menangkap setiap pes...

Best for

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

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.telegram, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rayan Koemi Karuby.

Original n8n.io source

1.1 Workflow description

Title: Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase
Workflow name: Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase

🛠️ How It Works: System Architecture Workflow ini bekerja melalui empat lapisan proses utama yang terintegrasi secara otomatis:

Input Processing & Routing Telegram Trigger: Menangkap setiap pesan masuk dari mahasiswa.

Smart Routing (Switch): Node Switch menganalisis tipe input. Jika input berupa perintah (/help, /cekstatus), teks biasa (pertanyaan), atau file gambar (formulir), workflow akan mengarahkannya ke jalur pemrosesan yang relevan.

Document Intelligence (OCR Path) Image Extraction: Saat mahasiswa mengirim foto formulir, node "from File" menyiapkan data biner untuk dianalisis.

AI Vision Analysis: Menggunakan model Gemini (via HTTP Request) untuk membaca teks di dalam gambar dan mengekstraknya menjadi format JSON yang terstruktur (Nama, NIM, Judul, dll).

Database Sync: Data yang berhasil diekstrak secara otomatis disimpan ke baris baru di Google Sheets sebagai database utama program studi.

Knowledge Retrieval (RAG Path) Knowledge Base Setup: File panduan akademik di Google Drive dipantau oleh trigger. Setiap ada file baru, sistem akan mengunduh, melakukan embedding, dan menyimpannya di Supabase Vector Store.

Contextual Answer: Jika mahasiswa bertanya, AI Agent akan mencari informasi yang paling relevan di Supabase terlebih dahulu, lalu menyusun jawaban berdasarkan dokumen resmi tersebut agar jawaban tetap akurat dan tidak "berhalusinasi".

Status Tracking & Memory Personalized Status: Saat perintah /cekstatus dipanggil, AI Agent akan mengambil data spesifik mahasiswa tersebut dari Google Sheets dan merangkum kemajuan administrasi mereka dalam bahasa yang mudah dipahami.

Conversational Memory: Menggunakan Postgres Chat Memory untuk menyimpan riwayat percakapan sehingga mahasiswa bisa melakukan tanya jawab secara berkesinambungan tanpa kehilangan konteks.

Admin Logging: Semua aktivitas chat juga dicatat kembali ke Spreadsheet untuk keperluan audit dan monitoring oleh staf admin.

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 - Telegram Trigger

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

Block 2 - Switch

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

Block 3 - If

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

Block 4 - Analisa gambar

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Respon error

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

Block 6 - Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 7 - Sticky Note

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

Block 8 - Telegram1

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

Block 9 - Sticky Note1

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

Block 10 - Telegram4

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

Block 11 - Telegram5

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

Block 12 - Sticky Note2

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

Block 13 - Sticky Note3

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

Block 14 - OpenAI Chat Model

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

Block 15 - AI Agent2

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 16 - Get row(s) in sheet in Google Sheets

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.7

Block 17 - Get row(s) in sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 18 - Google Drive Trigger

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

Block 19 - Download file

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 20 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 21 - Supabase Vector Store1

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

Block 22 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 23 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 24 - OpenAI Chat Model1

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

Showing the first 24 of 38 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase
Complexity	advanced
Nodes	38
Categories	Support Chatbot, AI Chatbot
Author	Rayan Koemi Karuby
Published	09 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15564/15564.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 Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase 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.

Rayan Koemi Karuby

1 workflow

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.switch n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.telegram n8n-nodes-base.googlesheets n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

advanced

Published 09 May 2026

Likes 0

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Install path: /data/workflows/15564/15564.json

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Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Switch

Block 3 - If

Block 4 - Analisa gambar

Block 5 - Respon error

Block 6 - Google Sheets

Block 7 - Sticky Note

Block 8 - Telegram1

Block 9 - Sticky Note1

Block 10 - Telegram4

Block 11 - Telegram5

Block 12 - Sticky Note2

Block 13 - Sticky Note3

Block 14 - OpenAI Chat Model

Block 15 - AI Agent2

Block 16 - Get row(s) in sheet in Google Sheets

Block 17 - Get row(s) in sheet

Block 18 - Google Drive Trigger

Block 19 - Download file

Block 20 - Embeddings OpenAI

Block 21 - Supabase Vector Store1

Block 22 - Default Data Loader

Block 23 - AI Agent

Block 24 - OpenAI Chat Model1

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