This workflow corresponds to n8n.io template #voice_assistant_agent_with_telegram — we link there as the canonical source.
This workflow follows the Agent → Documentdefaultdataloader recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('Telegram Message Trigger1').item.json.message.chat.id }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-2576,
-384
],
"id": "2ac4d2dd-945d-4462-bb22-d2df7c5a05fa",
"name": "Simple Memory"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolDescription": "Use this tool to retrieve any information required.",
"memoryKey": {
"__rl": true,
"value": "vector_store_key",
"mode": "list",
"cachedResultName": "vector_store_key"
},
"topK": 10
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1.3,
"position": [
-2432,
-352
],
"id": "759cc820-fb4e-4dfc-8c67-a7db3a47df18",
"name": "Retrieve documents"
},
{
"parameters": {
"chunkSize": 3000,
"chunkOverlap": 200,
"options": {}
},
"id": "a3ca8f55-b216-435d-a723-7d7e5da647b4",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
-3488,
-208
],
"typeVersion": 1
},
{
"parameters": {
"mode": "insert",
"memoryKey": {
"__rl": true,
"mode": "list",
"value": "vector_store_key"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1.3,
"position": [
-3440,
-560
],
"id": "7c32d920-7831-45a2-aef3-b51489aae91a",
"name": "Simple Vector Store"
},
{
"parameters": {
"options": {}
},
"id": "315e4265-2020-4e83-b747-ee667cf4bdaf",
"name": "Default Data Loader1",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
-3472,
-352
],
"typeVersion": 1
},
{
"parameters": {
"resource": "chat",
"chatId": "={{ $json.message.chat.id }}"
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
-2832,
-576
],
"id": "01da1111-472a-4278-9076-b5e54e9cc2c8",
"name": "Get a chat1",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"formTitle": "Upload your data to test RAG",
"formFields": {
"values": [
{
"fieldLabel": "Upload your file(s)",
"fieldType": "file",
"acceptFileTypes": ".pdf, .csv"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.2,
"position": [
-3696,
-560
],
"id": "ccae11fa-63fd-416e-ab91-d1721d388b4d",
"name": "Upload your file here"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Telegram Message Trigger1').item.json.message.text }}",
"options": {
"systemMessage": "=You are an helplful AI Assistant Provide answers to user query based only on knowledgebase.Do Not provide any edectra knowledge apart from knowledgebase",
"maxIterations": 10
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
-2672,
-576
],
"id": "a8ed394d-cf4f-4aa5-bdbe-1f893dc34782",
"name": "AI Agent1"
},
{
"parameters": {
"model": "llama-3.1-8b-instant",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
-2672,
-384
],
"id": "a3ddcc9d-1528-4b2a-8a5d-2257f764da47",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFaceInference",
"typeVersion": 1,
"position": [
-3648,
-336
],
"id": "314aecad-e499-48e0-8e36-0282a2c22895",
"name": "Embeddings HuggingFace Inference",
"credentials": {
"huggingFaceApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"chatId": "={{ $('Telegram Message Trigger1').item.json.message.chat.id }}",
"text": "={{ $json.output }}",
"additionalFields": {
"appendAttribution": false
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
-2352,
-576
],
"id": "5aa1edba-e5d5-4383-8150-60b56cb7f2e4",
"name": "Reply in Telegram1",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"updates": [
"*"
],
"additionalFields": {
"download": false
}
},
"id": "9d4e56d0-e7fd-4f5e-bba6-cdc207accfa7",
"name": "Telegram Message Trigger1",
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.2,
"position": [
-2992,
-576
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFaceInference",
"typeVersion": 1,
"position": [
-2432,
-176
],
"id": "d006eda4-cbd6-439f-9878-fd065ce2b7bf",
"name": "Embeddings HuggingFace Inference1",
"credentials": {
"huggingFaceApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "",
"height": 656,
"width": 912
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-4032,
-672
],
"typeVersion": 1,
"id": "e8facbae-ec41-492a-b3e0-c267fb6b941c",
"name": "Sticky Note"
},
{
"parameters": {
"content": "",
"height": 656,
"width": 912
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-3008,
-672
],
"typeVersion": 1,
"id": "987e71c5-a8f5-4a22-894e-5dec4a4c3722",
"name": "Sticky Note1"
}
],
"connections": {
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent1",
"type": "ai_memory",
"index": 0
}
]
]
},
"Retrieve documents": {
"ai_tool": [
[
{
"node": "AI Agent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader1",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Default Data Loader1": {
"ai_document": [
[
{
"node": "Simple Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Get a chat1": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
]
]
},
"Upload your file here": {
"main": [
[
{
"node": "Simple Vector Store",
"type": "main",
"index": 0
}
]
]
},
"AI Agent1": {
"main": [
[
{
"node": "Reply in Telegram1",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings HuggingFace Inference": {
"ai_embedding": [
[
{
"node": "Simple Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Telegram Message Trigger1": {
"main": [
[
{
"node": "Get a chat1",
"type": "main",
"index": 0
}
]
]
},
"Embeddings HuggingFace Inference1": {
"ai_embedding": [
[
{
"node": "Retrieve documents",
"type": "ai_embedding",
"index": 0
}
]
]
}
},
"meta": {
"templateId": "voice_assistant_agent_with_telegram",
"templateCredsSetupCompleted": true
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
groqApihuggingFaceApitelegramApi
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About this workflow
Telebot Knowledgehub. Uses memoryBufferWindow, vectorStoreInMemory, textSplitterRecursiveCharacterTextSplitter, documentDefaultDataLoader. Event-driven trigger; 15 nodes.
Source: https://github.com/huseyinhobek/n8n-workflow-templates-tr/blob/77af90136873e81f6089cf7f3f6efd37da7507a0/templates/Telegram/TeleBot_KnowledgeHub.json — original creator credit. Request a take-down →
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