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 →
{
"name": "Customer Support Chatbot(Telegram)",
"nodes": [
{
"parameters": {
"promptType": "define",
"text": "={{ $json.message.text }}",
"options": {
"systemMessage": "You are a helpful assistant\n\n- You should use the \"Vector Store\" node to answer the user's questions."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
1136,
160
],
"id": "5032544a-a05b-4102-b3a2-15041d1a3cf6",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5-nano",
"mode": "list",
"cachedResultName": "gpt-5-nano"
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
1040,
304
],
"id": "0c8d1467-e84e-437d-8c4d-28c64fc2bd3f",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $json.message.from.id }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.4,
"position": [
1168,
304
],
"id": "40292833-b5a6-4145-ba04-652ddd6673dc",
"name": "Simple Memory"
},
{
"parameters": {
"formTitle": "RAG ChatBot",
"formFields": {
"values": [
{
"fieldLabel": "File",
"fieldType": "file",
"requiredField": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.6,
"position": [
176,
128
],
"id": "db93befd-84d8-46cc-8d65-2af417b0be56",
"name": "On form submission"
},
{
"parameters": {
"mode": "insert",
"pineconeIndex": {
"__rl": true,
"value": "customersupportrag",
"mode": "list",
"cachedResultName": "customersupportrag"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1.3,
"position": [
432,
128
],
"id": "17eaef09-5338-4f2d-95f7-b707fdd83a66",
"name": "Pinecone Vector Store",
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
320,
320
],
"id": "6b99b497-6601-4ce5-93cc-6b949bafee31",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
656,
320
],
"id": "a90663ac-b614-49ad-b6ba-5f1584dcb190",
"name": "Default Data Loader"
},
{
"parameters": {
"content": "Uploading File to Vector Store",
"height": 384,
"width": 656
},
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
64
],
"typeVersion": 1,
"id": "4989273f-0681-4ea6-99bc-c0bb5dec246c",
"name": "Sticky Note"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolDescription": "- You should use the \"Vector Store\" node to answer the user's questions.",
"pineconeIndex": {
"__rl": true,
"value": "rag",
"mode": "list",
"cachedResultName": "rag"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1.3,
"position": [
1296,
368
],
"id": "95d56716-bc75-4497-b324-703fc9f01427",
"name": "Vector Store",
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
1232,
544
],
"id": "5b99a136-372b-4438-8cdb-7be0152d84ab",
"name": "Embeddings OpenAI1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.5,
"position": [
896,
160
],
"id": "5c2d8773-f85f-4dd7-87a1-67d307cbf625",
"name": "Telegram Trigger",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"text": "={{ $json.output }}",
"additionalFields": {
"appendAttribution": false
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
1504,
160
],
"id": "79b84e9c-193d-4c44-8518-bdff3cb52fa6",
"name": "Send a text message",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Send a text message",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Pinecone Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Vector Store": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Telegram Trigger": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": false
},
"versionId": "c90a15e2-b5fc-46a7-a91c-ccd0c9cc7bc3",
"meta": {
"templateCredsSetupCompleted": true
},
"nodeGroups": [],
"id": "EMa97FPO0r7Qtn1d",
"tags": []
}
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.
openAiApipineconeApitelegramApi
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About this workflow
Customer Support Chatbot(Telegram). Uses agent, lmChatOpenAi, memoryBufferWindow, formTrigger. Event-driven trigger; 12 nodes.
Source: https://github.com/mfarhan019/n8n-rag-chatbot-telegram/blob/main/workflow.json — original creator credit. Request a take-down →
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