This workflow follows the Chainllm → 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 →
{
"name": "InsightsLM - Generate Notebook Details",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "0c488f50-8d6a-48a0-b056-5f7cfca9efe2",
"authentication": "headerAuth",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
140,
-200
],
"id": "010f9da2-e94a-4eeb-8abc-7a11b5df02d3",
"name": "Webhook",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.2,
"position": [
1616,
-200
],
"id": "d617ebc0-0500-403b-babc-205733ce36a4",
"name": "Respond to Webhook"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.extracted_text }}",
"hasOutputParser": true,
"messages": {
"messageValues": [
{
"message": "=Based on the data provided, output an appropriate title and summary of the document. \n\nAlso output an appropriate UTF-8 emoji for the notebook. - example: \ud83c\udfc6\nAnd output an appropriate color from this list\n\nslate\ngray\nzinc\nneutral\nstone\nred\norange\namber\nyellow\nlime\ngreen\nemerald\nteal\ncyan\nsky\nblue\nindigo\nviolet\npurple\nfuchsia\npink\nrose\n\nAlso output a list of 5 Example Questions that could be asked of this document. For example \"How are the rules and regulations of tennis enforced?\" - Maximum 10 words each\n\nOnly output in JSON."
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.6,
"position": [
1240,
-200
],
"id": "66e19df1-eae3-43f0-93d1-56def58c1432",
"name": "Generate Title & Description"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"title\": \"<ADD>\",\n\t\"summary\": \"<ADD>\",\n \"notebook_icon\": \"<ADD>\",\n \"background_color\": \"<ADD>\",\n \"example_questions\": [\"ADD\",\"ADD\"]\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
1388,
20
],
"id": "5800e2a7-6e7f-4227-a124-43d05b2a8542",
"name": "Structured Output Parser"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
1268,
20
],
"id": "fb70591a-e3fb-4430-8902-70da6a397200",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "AzZ5a2zCGU1O3MRV",
"mode": "list",
"cachedResultName": "InsightsLM - Extract Text"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"filePath": "={{ $json.body.filePath }}"
},
"matchingColumns": [
"filePath"
],
"schema": [
{
"id": "filePath",
"displayName": "filePath",
"required": false,
"defaultMatch": false,
"display": true,
"canBeUsedToMatch": true,
"type": "string",
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.2,
"position": [
1020,
0
],
"id": "df36e109-47a6-4f1b-a775-740b4b3ceb7e",
"name": "Extract Text"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "a25d08b6-2c99-4e08-af5f-62b13e6c4fdb",
"leftValue": "={{ $json.body.sourceType }}",
"rightValue": "=text",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
},
{
"id": "3b5d5dce-76c4-445a-bab7-53c2114d52be",
"leftValue": "={{ $json.body.sourceType }}",
"rightValue": "website",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "or"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
360,
-200
],
"id": "fdb03c27-aa2b-4ce4-a627-100599928646",
"name": "If"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "ea61516d-9144-4b4b-904e-cf280d5bd08d",
"leftValue": "={{ $json.body.sourceType }}",
"rightValue": "text",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
580,
-300
],
"id": "3fe02905-4fd7-45bc-bdec-72de6a6d8a97",
"name": "If1"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c5924d7e-6185-49a5-b61c-d244a40bd9b2",
"name": "=extracted_text",
"value": "={{ $json.body.content }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1020,
-400
],
"id": "6ca2f532-9da2-46cf-a88e-edc2264fd3a7",
"name": "Set Text"
},
{
"parameters": {
"url": "=https://r.jina.ai/{{ $json.body.filePath }}",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
800,
-200
],
"id": "7f96ba8f-875b-4368-9022-94c06acd9936",
"name": "Fetch Webpage with Jina.ai"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "c5924d7e-6185-49a5-b61c-d244a40bd9b2",
"name": "=extracted_text",
"value": "={{ $json.data.content }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1020,
-200
],
"id": "0e106e48-8a5c-4142-8906-e2b5291d11e2",
"name": "Set Text1"
},
{
"parameters": {
"content": "## To Do \n- Configure the Extract Text node to trigger the \"Extract Text\" workflow",
"width": 680,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1360,
-440
],
"id": "2011755c-70ad-4bd7-811b-e6bface53763",
"name": "Sticky Note"
},
{
"parameters": {
"content": "[](https://www.theaiautomators.com/)\n## InsightsLM\nhttps://github.com/theaiautomators/insights-lm-public",
"height": 220,
"width": 280,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
140,
-580
],
"id": "b0e56210-db45-4b10-b513-ddbac2e7d222",
"name": "Sticky Note8"
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Generate Title & Description": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Generate Title & Description",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Generate Title & Description",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Extract Text": {
"main": [
[
{
"node": "Generate Title & Description",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract Text",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Set Text",
"type": "main",
"index": 0
}
],
[
{
"node": "Fetch Webpage with Jina.ai",
"type": "main",
"index": 0
}
]
]
},
"Set Text": {
"main": [
[
{
"node": "Generate Title & Description",
"type": "main",
"index": 0
}
]
]
},
"Fetch Webpage with Jina.ai": {
"main": [
[
{
"node": "Set Text1",
"type": "main",
"index": 0
}
]
]
},
"Set Text1": {
"main": [
[
{
"node": "Generate Title & Description",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "dd220d9f-8dc3-44bc-889d-726cde238df3",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "5I6KohfDxYQ2xvQ7",
"tags": [
{
"createdAt": "2025-05-12T13:43:59.783Z",
"updatedAt": "2025-05-12T13:43:59.783Z",
"id": "d3ygIhrGjDmzgrW0",
"name": "TheAIAutomators.com"
}
]
}
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.
httpHeaderAuthopenAiApi
Pro
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About this workflow
InsightsLM - Generate Notebook Details. Uses chainLlm, outputParserStructured, lmChatOpenAi, httpRequest. Webhook trigger; 13 nodes.
Source: https://github.com/arnikanord/Notebook-LM-clone/blob/main/n8n/InsightsLM___Generate_Notebook_Details.json — original creator credit. Request a take-down →
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