This workflow follows the Chainllm → 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": "InsightsLM - Upsert to Vector Store",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "19566c6c-e0a5-4a8f-ba1a-5203c2b663b7",
"authentication": "headerAuth",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
320,
-20
],
"id": "e80f97df-d2a3-40e5-8ebe-05e7123482ee",
"name": "Webhook",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.1,
"position": [
1812,
-20
],
"id": "8a9a6814-b5db-4f2e-8877-a62633c042d8",
"name": "Supabase Vector Store",
"retryOnFail": true,
"maxTries": 5,
"waitBetweenTries": 5000,
"alwaysOutputData": true,
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "notebook_id",
"value": "={{ $('Code').item.json.notebook_id }}"
},
{
"name": "source_id",
"value": "={{ $('Code').item.json.source_id }}"
}
]
}
}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
1916,
202.5
],
"id": "bdc647ec-d262-46ae-b96b-47577f237dc4",
"name": "Default Data Loader"
},
{
"parameters": {
"chunkOverlap": 200,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
2004,
400
],
"id": "66adf3a1-e086-4562-b5d3-5e700a49dc14",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
1796,
200
],
"id": "aa1fc9fb-8942-4aa1-9fcc-525595accaf7",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "dab34521-ffef-41db-9eb3-8985fd108466",
"name": "text",
"value": "={{ $('Code').item.json.extracted_text }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1576,
-20
],
"id": "e0233d37-8a61-4ad6-b0b8-1209b7da0ec5",
"name": "Edit Fields"
},
{
"parameters": {
"jsCode": "// Example: run this in an n8n Code node (JavaScript)\n\nlet notebook_id;\nlet source_id;\n\ntry {\n const webhookData = $('Webhook').first();\n if (webhookData && webhookData.json?.body?.file_path) {\n const path = webhookData.json.body.file_path;\n notebook_id = path.split('/')[0];\n source_id = webhookData.json.body.source_id;\n }\n} catch (e) {\n // Webhook not executed or doesn't exist in this context\n notebook_id = $input.first().json.notebook_id;\n source_id = $input.first().json.source_id;\n}\n\nconst extracted_text = $input.first().json.extracted_text;\n\nreturn [\n {\n json: {\n notebook_id,\n extracted_text,\n source_id\n },\n },\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
760,
-20
],
"id": "89e5c09e-6321-4c66-94f8-d1bdb6cccd99",
"name": "Code"
},
{
"parameters": {
"method": "POST",
"url": "https://yfvmutoxmibqzvyklggr.supabase.co/functions/v1/process-document-callback",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "supabaseApi",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"source_id\": \"{{ $('Code').item.json.source_id }}\",\n \"status\": \"completed\"\n}\n",
"options": {
"redirect": {
"redirect": {}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2420,
-20
],
"id": "01a9b118-2d17-4637-98f7-4fe309c7cc54",
"name": "HTTP Request",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"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. Only output in JSON in the following format / structure\n\n{\n\t\"title\": \"<ADD>\",\n\t\"summary\": \"<ADD>\"\n}"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.6,
"position": [
980,
-20
],
"id": "88660990-81f1-4ed0-aaa8-c64c1ba1d2cf",
"name": "Generate Title & Description"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"title\": \"<ADD>\",\n\t\"summary\": \"<ADD>\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
1128,
200
],
"id": "3a83ea73-73e8-4f74-90ad-b55aadc5c8a3",
"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": [
1008,
200
],
"id": "e16a04be-5702-4d01-92f5-45af5f90b97a",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "update",
"tableId": "sources",
"filters": {
"conditions": [
{
"keyName": "id",
"condition": "eq",
"keyValue": "={{ $('Code').item.json.source_id }}"
}
]
},
"fieldsUi": {
"fieldValues": [
{
"fieldId": "content",
"fieldValue": "={{ $('Code').item.json.extracted_text }}"
},
{
"fieldId": "summary",
"fieldValue": "={{ $json.output.summary }}"
},
{
"fieldId": "display_name",
"fieldValue": "={{ $json.output.title }}"
}
]
}
},
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
1356,
-20
],
"id": "0487c4af-d2b5-4208-bbfa-06af8ebb8ee5",
"name": "Supabase",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "AzZ5a2zCGU1O3MRV",
"mode": "list",
"cachedResultName": "InsightsLM - Extract Text"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"filePath": "={{ $json.body.file_path }}"
},
"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": [
540,
-20
],
"id": "5b4ae6b1-e39f-452f-a46b-9832f7b346bc",
"name": "Extract Text"
},
{
"parameters": {
"workflowInputs": {
"values": [
{
"name": "notebook_id"
},
{
"name": "extracted_text"
},
{
"name": "source_id"
}
]
}
},
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
320,
-260
],
"id": "fb8ef16d-0ba1-4659-ab05-d3a53fc155cc",
"name": "When Executed by Another Workflow"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
2180,
-20
],
"id": "effe2ff2-00bc-4f74-bc50-6078685dcfd5",
"name": "Aggregate"
},
{
"parameters": {
"content": "## To Do \n- Configure the Supabase nodes to reference your Project\n- Configure \"Extract Text\" to hit the correct workflow\n- Update the Host of the \"HTTP Request\" to hit your project",
"width": 580,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1460,
-300
],
"id": "8c087d38-88b2-4c9f-8267-d8121addea2a",
"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": [
740,
-340
],
"id": "6d8672e9-000b-4e81-9f2b-a665f2972e52",
"name": "Sticky Note8"
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Extract Text",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Supabase Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "Generate Title & Description",
"type": "main",
"index": 0
}
]
]
},
"Supabase Vector Store": {
"main": [
[
{
"node": "Aggregate",
"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
}
]
]
},
"Generate Title & Description": {
"main": [
[
{
"node": "Supabase",
"type": "main",
"index": 0
}
]
]
},
"Supabase": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Extract Text": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "5bb6ec60-c693-47cc-9d5a-a27d71bf284f",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "IQcdcedwXg2w3AuW",
"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.
httpHeaderAuthopenAiApisupabaseApi
Pro
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About this workflow
InsightsLM - Upsert to Vector Store. Uses vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Webhook trigger; 17 nodes.
Source: https://github.com/arnikanord/Notebook-LM-clone/blob/main/n8n/InsightsLM___Upsert_to_Vector_Store.json — original creator credit. Request a take-down →
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