This workflow follows the Agent → HTTP Request 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 →
{
"updatedAt": "2026-07-18T12:13:54.608Z",
"createdAt": "2026-07-01T12:51:49.269Z",
"id": "NpCAVsDMkGXTqhas",
"name": "AI Learning Pipeline: Telegram to Notion ETL",
"description": null,
"active": false,
"isArchived": false,
"nodes": [
{
"parameters": {
"jsCode": "const text = $input.item.json.message.text;\nconst urlRegex = /(https?:\\/\\/[^\\s]+)/g;\nconst url = text.match(urlRegex)?.[0] || \"\";\nconst directive = text.replace(urlRegex, \"\").trim();\nreturn { json: { url: url, directive: directive } };\n\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
624
],
"id": "5eff3758-32e8-46fc-87f3-63bcccedd04e",
"name": "The Parser"
},
{
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.3,
"position": [
0,
624
],
"id": "c6702e6a-06c9-4daa-81bc-58a7edaa96ab",
"name": "The Extraction",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "qwen2.5:3b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmOllama",
"typeVersion": 1,
"position": [
1424,
848
],
"id": "ee073892-63e1-4944-b026-2b93d4efe517",
"name": "Ollama Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"text": "={{ $json.transcript_text }} || {{ $json.data }}",
"attributes": {
"attributes": [
{
"name": "domain",
"description": "The technical category of the text.",
"required": true
},
{
"name": "resource_type",
"description": "The format of the learning material."
},
{
"name": "priority",
"description": "The urgency of learning this material, heavily biased by the user directive."
}
]
},
"options": {
"systemPromptTemplate": "=Extract the schema from the text. Pay strict attention to this user directive:{{ $('The Parser').item.json.directive }} . Bias the priority based on this directive"
}
},
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"typeVersion": 1.2,
"position": [
1344,
624
],
"id": "f2f0380f-9242-4a16-a6d4-25ff00a80c1a",
"name": "The Triage AI"
},
{
"parameters": {
"model": "llama3.2:3b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
1664,
848
],
"id": "9a54c257-dc10-4504-aec2-16d099ca1c21",
"name": "Ollama Chat Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"typeVersion": 1.4,
"position": [
1952,
848
],
"id": "d15e62d8-73f7-4719-93a3-61fc2f20365e",
"name": "Postgres Chat Memory",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"needsFallback": true,
"options": {
"systemMessage": "=You are an Analytics Engineer mentor. Analyze the provided syllabus and output a Markdown-formatted study roadmap. Break the course into 60-minute execution blocks. Highlight modules related to: {{ $('The Parser').item.json.directive }}."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
1760,
624
],
"id": "c20a4adb-a076-47ce-9bd1-7d96ec20f759",
"name": "The Mentor AI"
},
{
"parameters": {
"resource": "databasePage",
"databaseId": {
"__rl": true,
"value": "39070877-4c80-80f4-915b-efcfc0bcf089",
"mode": "list",
"cachedResultName": "Learning Paths",
"cachedResultUrl": "https://app.notion.com/p/390708774c8080f4915befcfc0bcf089"
},
"title": "=",
"options": {}
},
"type": "n8n-nodes-base.notion",
"typeVersion": 2.2,
"position": [
2160,
624
],
"id": "4cab3040-5a7e-46c7-a569-c4f84db7ad0a",
"name": "Create a database page",
"credentials": {
"notionApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "={{ $('The Parser').item.json.url }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
672,
720
],
"id": "4c641df7-b6f1-4043-a80f-cadd476cebfa",
"name": "HTTP Request"
},
{
"parameters": {
"model": "openrouter/auto",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
1808,
848
],
"id": "5e923e09-f32c-4ce7-8a6b-73f2a68d5e0e",
"name": "OpenRouter Chat Model",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "4810b093-5ee2-47a0-a9f4-c5f3888b634b",
"leftValue": "=={{ $json.url }}",
"rightValue": "youtube.com",
"operator": {
"type": "string",
"operation": "contains"
}
},
{
"id": "c9d3eb03-6ffa-4e0e-b4f3-caf638d60900",
"leftValue": "=={{ $json.url }}",
"rightValue": "youtu.be",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "or"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [
448,
624
],
"id": "736051c3-9413-4b6f-8de0-5ce83082f6d5",
"name": "If"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{}
]
},
"options": {}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
896,
720
],
"id": "1dc99687-c0c4-4f72-980e-221bfb975868",
"name": "HTML"
},
{
"parameters": {
"html": "j",
"options": {}
},
"type": "n8n-nodes-base.markdown",
"typeVersion": 1,
"position": [
1120,
720
],
"id": "e679759d-c077-45be-b5d7-42aaea426525",
"name": "Markdown"
}
],
"connections": {
"The Extraction": {
"main": [
[
{
"node": "The Parser",
"type": "main",
"index": 0
}
]
]
},
"The Parser": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Ollama Model": {
"ai_languageModel": [
[
{
"node": "The Triage AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"The Triage AI": {
"main": [
[
{
"node": "The Mentor AI",
"type": "main",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "The Mentor AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "The Mentor AI",
"type": "ai_memory",
"index": 0
}
]
]
},
"The Mentor AI": {
"main": [
[
{
"node": "Create a database page",
"type": "main",
"index": 0
}
]
]
},
"Create a database page": {
"main": [
[]
]
},
"HTTP Request": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "The Mentor AI",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"If": {
"main": [
[
{
"node": "The Triage AI",
"type": "main",
"index": 0
}
],
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTML": {
"main": [
[
{
"node": "Markdown",
"type": "main",
"index": 0
}
]
]
},
"Markdown": {
"main": [
[
{
"node": "The Triage AI",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": true
},
"staticData": null,
"meta": {
"templateCredsSetupCompleted": true
},
"nodeGroups": [],
"versionId": "51d1c4f2-5e4c-45d7-9576-8c1251dbfc2c",
"activeVersionId": null,
"versionCounter": 244,
"triggerCount": 0,
"sourceWorkflowId": null,
"tags": [
{
"updatedAt": "2026-07-16T16:03:29.217Z",
"createdAt": "2026-07-16T16:03:29.217Z",
"id": "08f43634238e406b",
"name": "Agentic AI"
},
{
"updatedAt": "2026-07-16T16:03:29.020Z",
"createdAt": "2026-07-16T16:03:29.020Z",
"id": "9a8d1d753df54ed1",
"name": "Production Automation"
},
{
"updatedAt": "2026-07-16T16:03:28.786Z",
"createdAt": "2026-07-16T16:03:28.786Z",
"id": "6e30f4ffb71d4b65",
"name": "Data Pipeline"
},
{
"updatedAt": "2026-07-16T16:03:28.540Z",
"createdAt": "2026-07-16T16:03:28.540Z",
"id": "90acb56ef2f84a89",
"name": "Event-Driven"
},
{
"updatedAt": "2026-07-16T16:03:28.284Z",
"createdAt": "2026-07-16T16:03:28.284Z",
"id": "e1c954be4bee474d",
"name": "Data Transformation"
}
],
"shared": [
{
"updatedAt": "2026-07-01T12:51:49.269Z",
"createdAt": "2026-07-01T12:51:49.269Z",
"role": "workflow:owner",
"workflowId": "NpCAVsDMkGXTqhas",
"projectId": "7Kuw5RaGwePDWMtJ",
"project": {
"updatedAt": "2026-06-09T16:37:14.049Z",
"createdAt": "2026-06-09T16:15:53.210Z",
"id": "7Kuw5RaGwePDWMtJ",
"name": "Sohila Abbas <sohila.k.data@gmail.com>",
"type": "personal",
"icon": null,
"description": null,
"customTelemetryTags": [],
"creatorId": "ef255f89-7c87-4d14-8714-7469755d5486"
}
}
],
"versionMetadata": {
"name": null,
"description": null
}
}
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.
notionApiollamaApiopenRouterApipostgrestelegramApi
Pro
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About this workflow
AI Learning Pipeline: Telegram to Notion ETL. Uses telegramTrigger, lmOllama, informationExtractor, lmChatOllama. Event-driven trigger; 13 nodes.
Source: https://github.com/Sohila-Khaled-Abbas/n8n-workflow-telegram-notion-etl/blob/main/workflow.json — original creator credit. Request a take-down →
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