This workflow follows the Documentdefaultdataloader → 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": "embdding",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-260,
40
],
"id": "8fa27f8e-296d-4522-81e6-4dfa553c5f68",
"name": "When clicking \u2018Test workflow\u2019"
},
{
"parameters": {
"url": "http://baidu.com",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
0,
0
],
"id": "b6ad9255-9041-4dcb-bac9-94b7633a3ee5",
"name": "HTTP Request"
},
{
"parameters": {
"mode": "insert"
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1.1,
"position": [
280,
0
],
"id": "08fd65a4-fd04-4691-b3f4-3545393c1e25",
"name": "Simple Vector Store"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
580,
260
],
"id": "f4d334fd-360e-41fb-aa51-ed6ff8b489e6",
"name": "Default Data Loader"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
380,
400
],
"id": "3b501d76-c5d0-4c10-b60d-8aed3c21672a",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-netmind.embeddingsNetmind",
"typeVersion": 1,
"position": [
100,
380
],
"id": "ccf8c356-53b6-4ba4-87bb-2f098f20cec1",
"name": "Embeddings Netmind OpenAI",
"credentials": {
"netmindApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Simple Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Simple Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings Netmind OpenAI": {
"ai_embedding": [
[
{
"node": "Simple Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "e06660c0-f893-43d0-ad95-a74921dd29b3",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "t2usX5w7bmHz7e2Z",
"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.
netmindApi
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About this workflow
embdding. Uses httpRequest, vectorStoreInMemory, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.
Source: https://github.com/protagolabs/n8n-nodes-netmind/blob/3d65b73c471327adcc085999aafb1855d8067445/examples/embdding.json — original creator credit. Request a take-down →
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