Telegram chat with PDF

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Important notice

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

1. Workflow Overview

What this template does This template serves as a Chatbot that enables you to ask questions about the content of a PDF directly in Telegream. It checks incoming Telegram messages if they contain a ...

Best for

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

Tools used

n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, n8n-nodes-base.stopanderror, @n8n/n8n-nodes-langchain.chainretrievalqa, @n8n/n8n-nodes-langchain.retrievervectorstore, @n8n/n8n-nodes-langchain.vectorstorepinecone

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by felipe biava cataneo.

Original n8n.io source

1.1 Workflow description

Title: Telegram chat with PDF
Workflow name: Telegram chat with PDF

What this template does

This template serves as a Chatbot that enables you to ask questions about the content of a PDF directly in Telegream.

It checks incoming Telegram messages if they contain a document. If they do, it stores the PDF in a Pinecone Vector store. If there's no document, it will search the Vector Store for information and try to answer your question.

Setup

Open the Telegram app and search for the BotFather user (@BotFather)
Start a chat with the BotFather
Type /newbot to create a new bot
Follow the prompts to name your bot and get a unique API token
Save your access token and username Once you set your bot, you can send the pdf, and then ask questions about the content.

How to adjust it to your needs

You can exchange the Groq chat model with any model that you like
Exchange Pinecone with any other vector store tool you like (e.g. Supabase, Postgres or QDrant)

#Telegram, #Pinecone, #Openai, #GroQ

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 1.1

Block 2 - Embeddings OpenAI

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

Block 3 - Default Data Loader

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

Block 4 - Recursive Character Text Splitter

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

Block 5 - Stop and Error

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

Block 6 - Question and Answer Chain

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

Block 7 - Vector Store Retriever

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

Block 8 - Pinecone Vector Store1

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

Block 9 - Groq Chat Model

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

Block 10 - Sticky Note

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

Block 11 - Sticky Note1

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

Block 12 - Check If is a document

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2

Block 13 - Change to application/pdf

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Telegram get File

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

Block 15 - Embeddings

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

Block 16 - Telegram Response

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

Block 17 - Telegram Response about Database

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

Block 18 - Stop and Error1

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

Block 19 - Pinecone Vector Store

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

Block 20 - Limit to 1

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

3. Summary Table

Workflow	Telegram chat with PDF
Complexity	advanced
Nodes	20
Categories	Document Extraction, AI RAG
Author	felipe biava cataneo
Published	27 Aug 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2392/2392.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 chat with PDF 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 Document Extraction, AI RAG use case.

felipe biava cataneo

2 workflows

Nodes

n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.embeddingsopenai @n8n/n8n-nodes-langchain.documentdefaultdataloader @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter n8n-nodes-base.stopanderror @n8n/n8n-nodes-langchain.chainretrievalqa @n8n/n8n-nodes-langchain.retrievervectorstore @n8n/n8n-nodes-langchain.vectorstorepinecone

Complexity

advanced

Published 27 Aug 2024

Likes 0

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Install path: /data/workflows/2392/2392.json

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Telegram chat with PDF

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What this template does

Setup

How to adjust it to your needs

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Embeddings OpenAI

Block 3 - Default Data Loader

Block 4 - Recursive Character Text Splitter

Block 5 - Stop and Error

Block 6 - Question and Answer Chain

Block 7 - Vector Store Retriever

Block 8 - Pinecone Vector Store1

Block 9 - Groq Chat Model

Block 10 - Sticky Note

Block 11 - Sticky Note1

Block 12 - Check If is a document

Block 13 - Change to application/pdf

Block 14 - Telegram get File

Block 15 - Embeddings

Block 16 - Telegram Response

Block 17 - Telegram Response about Database

Block 18 - Stop and Error1

Block 19 - Pinecone Vector Store

Block 20 - Limit to 1

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