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Telegram RAG pdf

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

Engine
n8n
Nodes
20
Trigger
scheduled/triggered
Source file
1689_Stopanderror_Telegram_Automation_Triggered.json

Workflow flow

IntegrationsTelegramEmbeddingsOpenAiDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterStopAndErrorChainRetrievalQaRetrieverVectorStoreVectorStorePineconeLmChatGroqLimit@n8n/n8n-nodes-langchain.embeddingsOpenAi@n8n/n8n-nodes-langchain.documentDefaultDataLoader+7 more
100%
TRIGGER

Telegram Trigger

Telegram

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

IF

Question and Answer Chain

@n8n/n8n-nodes-langchain.chainRetrievalQa

Telegram get File

Telegram

Change to application/pdf

Code

Telegram Response

Telegram

Stop and Error

StopAndError

Pinecone Vector Store

@n8n/n8n-nodes-langchain.vectorStorePinecone

Limit to 1

Limit

Telegram Response about Database

Telegram

Stop and Error1

StopAndError

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

Browse by integration

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Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. 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

Free n8n workflow: Telegram RAG pdf. 20 nodes across telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "Telegram RAG pdf" chains 20 nodes to move data between 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

  • Fork it to add error handling, retries, or a notification step without designing the 20-node flow from scratch.
  • Benchmark it against your current telegram integration to spot missing steps or redundant nodes.
  • Study how data moves from telegram to embeddingsOpenAi before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the telegram stack.

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. Open each node after import to map credentials to your own telegram and embeddingsOpenAi accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Telegram RAG pdf" JSON into a plain-English runbook, node by node. It can flag where telegram rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for telegram, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, stopAndError, chainRetrievalQa, retrieverVectorStore, vectorStorePinecone. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Telegram RAG pdf" — extract telegram IDs and secrets into environment variables without changing the 20-node structure.

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.

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