This workflow follows the Documentdefaultdataloader → Textsplitterrecursivecharactertextsplitter 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": "Carga de datos",
"nodes": [
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "test",
"mode": "id"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.3,
"position": [
16,
-16
],
"id": "e13afccc-0829-475b-aaed-7efc3eed04eb",
"name": "Qdrant Vector Store",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "nomic-embed-text:latest"
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"typeVersion": 1,
"position": [
0,
224
],
"id": "cc686c97-b958-4886-b3bd-98145449d3e8",
"name": "Embeddings Ollama",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"textSplittingMode": "custom",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
160,
224
],
"id": "599576f1-72b4-407d-b7a0-0c4c94105b16",
"name": "Default Data Loader"
},
{
"parameters": {
"fileSelector": "/home/node/.n8n-files/**/*.pdf",
"options": {}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1.1,
"position": [
-416,
-16
],
"id": "58855b61-394d-4515-9cce-f3a50857db38",
"name": "Read/Write Files from Disk"
},
{
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.3,
"position": [
-624,
-16
],
"id": "72ac740b-4331-4000-b98a-fb603549740e",
"name": "Schedule Trigger"
},
{
"parameters": {
"chunkSize": 1500,
"chunkOverlap": 300,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
192,
400
],
"id": "bc50d8a1-6b7b-4725-b3e5-765bf6fe69d6",
"name": "Recursive Character Text Splitter"
}
],
"connections": {
"Embeddings Ollama": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Read/Write Files from Disk": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Read/Write Files from Disk",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"versionId": "da8b93de-56b9-4f7e-8009-1750c8dc475c",
"meta": {
"templateCredsSetupCompleted": true
},
"nodeGroups": [],
"id": "izxZhdraekJaNWhl",
"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.
ollamaApiqdrantApi
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About this workflow
Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.
Source: https://gitlab.com/facundonsr/diia_data/-/blob/main/Carga_de_datos.json — original creator credit. Request a take-down →
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Click here to view the YouTube Tutorial