How do I import "Telegram RAG pdf" into n8n?

Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own telegram and embeddingsOpenAi credentials in n8n after import.

What trigger type does "Telegram RAG pdf" use?

Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.

Is "Telegram RAG pdf" free to use?

OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone.

← Workflows

Telegram RAG pdf

20 nodes · telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa

Engine: n8n
Nodes: 20
Trigger: scheduled/triggered
Source file: 1061_Stopanderror_Telegram_Automation_Triggered.json

Workflow flow

Integrations

TelegramEmbeddingsOpenAiDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterStopAndErrorChainRetrievalQaRetrieverVectorStoreVectorStorePineconeLmChatGroqLimit@n8n/n8n-nodes-langchain.embeddingsOpenAi@n8n/n8n-nodes-langchain.documentDefaultDataLoader+7 more

100%

TRIGGER

Telegram Trigger

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Recursive Character Text Splitter

@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

Vector Store Retriever

@n8n/n8n-nodes-langchain.retrieverVectorStore

Pinecone Vector Store1

@n8n/n8n-nodes-langchain.vectorStorePinecone

Groq Chat Model

@n8n/n8n-nodes-langchain.lmChatGroq

Embeddings

@n8n/n8n-nodes-langchain.embeddingsOpenAi

Check If is a document

Question and Answer Chain

@n8n/n8n-nodes-langchain.chainRetrievalQa

Telegram get File

Change to application/pdf

Code

Telegram Response

Stop and Error

StopAndError

Pinecone Vector Store

@n8n/n8n-nodes-langchain.vectorStorePinecone

Limit to 1

Limit

Telegram Response about Database

Stop and Error1

StopAndError

18 steps · flows top to bottom, branches left to right

Browse by integration

telegram embeddingsOpenAi documentDefaultDataLoader textSplitterRecursiveCharacterTextSplitter stopAndError chainRetrievalQa retrieverVectorStore vectorStorePinecone lmChatGroq limit

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Telegram RAG pdf (20-node n8n automation, telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Telegram RAG pdf" is an n8n automation built from 20 nodes spanning telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone. 20 nodes · telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Benchmark it against your current telegram integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 20-node flow from scratch.
Use it as a starting template when wiring telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone — adjust node parameters to your accounts and record IDs.
Import "Telegram RAG pdf" into n8n, reconnect credentials for telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone, and run the same automation in your own workspace.

Example output

Imported into n8n, "Telegram RAG pdf" exposes 20 configured nodes. Trigger type: scheduled/triggered. Integrations: telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone. Reconnect the telegram credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Telegram RAG pdf" into Claude and ask it to explain each of the 20 nodes. Claude is good at suggesting credential mappings for telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Telegram RAG pdf" to your accounts — which telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 20 nodes.

Frequently asked questions

How do I import "Telegram RAG pdf" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Telegram RAG pdf" use?: It uses: telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone. The flow diagram above shows how each service connects across the 20 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own telegram and embeddingsOpenAi credentials in n8n after import.
What trigger type does "Telegram RAG pdf" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Telegram RAG pdf" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone.