This workflow follows the Documentdefaultdataloader → OpenAI Embeddings 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": "Ingest Vector Store Ecommerce",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
100,
0
],
"id": "ccc838bf-4983-431d-bac6-943242d9b7ce",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"fileSelector": "/home/node/data/**/marketplace*.csv",
"options": {}
},
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1,
"position": [
300,
0
],
"id": "26e8b2b0-ffc3-4559-b511-c5dcef07af2f",
"name": "Read/Write Files from Disk",
"alwaysOutputData": true
},
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "marketplace",
"mode": "id"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.3,
"position": [
960,
0
],
"id": "1b45753d-b618-4407-a024-cf0e282380b2",
"name": "Qdrant Vector Store",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {
"dimensions": 1536
}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
960,
180
],
"id": "a25f4c6b-7560-4992-8975-a5c7373b9bcc",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $json.pageContent }}",
"textSplittingMode": "custom",
"options": {
"metadata": {
"metadataValues": [
{
"name": "question",
"value": "={{ $json.metadata.question }}"
},
{
"name": "answer",
"value": "={{ $json.metadata.answer }}"
},
{
"name": "intent",
"value": "={{ $json.metadata.intent }}"
},
{
"name": "category",
"value": "={{ $json.metadata.category }}"
},
{
"name": "source",
"value": "={{ $json.metadata.source }}"
},
{
"name": "created_at",
"value": "={{ $json.metadata.created_at }}"
}
]
}
}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
1120,
200
],
"id": "606dc991-5a84-4277-a99b-60fb5ce41019",
"name": "Default Data Loader"
},
{
"parameters": {
"chunkOverlap": 200,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
1120,
340
],
"id": "03343aa4-55c7-4596-b2a9-b77b1dc90f71",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
520,
0
],
"id": "6b0a6419-3665-4fd8-bf5b-9d86cb1c72bc",
"name": "Extract from File"
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={\n \"pageContent\": \"Q:{{ $json.question }}\\nA:{{ $json.answer }}\",\n \"metadata\": {\n \"question\": \"{{ $json.question }}\",\n \"answer\": \"{{ $json.answer }}\",\n \"intent\": \"{{ $json.intent }}\",\n \"category\": \"{{ $json.category }}\",\n \"source\": \"{{ $json.source }}\",\n \"created_at\": \"{{ $json.created_at }}\"\n }\n}\n",
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
740,
0
],
"id": "b1354616-7c3b-4f9e-bba8-a44b93c8f187",
"name": "Edit Fields"
}
],
"connections": {
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Read/Write Files from Disk",
"type": "main",
"index": 0
}
]
]
},
"Read/Write Files from Disk": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"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
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "bb652638-bfa0-425d-8924-cbc7be47d19d",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "F7e83FKR8wQ3ShPO",
"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.
openAiApiqdrantApi
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About this workflow
Ingest Vector Store Ecommerce. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.
Source: https://github.com/abdurrahmanharitsghiffary/waha-n8n-rag/blob/main/workflows/ecommerce_ingest_vector_store.json — original creator credit. Request a take-down →
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