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": "Upload Brochures to Qdrant (Manual Trigger)",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-720,
240
],
"id": "c1111111-1111-4111-8111-111111111111",
"name": "When clicking 'Execute workflow'"
},
{
"parameters": {
"resource": "fileFolder",
"queryString": "",
"filter": {
"folderId": {
"__rl": true,
"value": "REPLACE_WITH_DRIVE_FOLDER_ID",
"mode": "list",
"cachedResultName": "Course Brochures",
"cachedResultUrl": "https://drive.google.com/drive/folders/REPLACE_WITH_DRIVE_FOLDER_ID"
}
},
"options": {
"returnAll": true,
"fields": [
"id",
"name",
"mimeType"
]
}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-500,
240
],
"id": "c2222222-2222-4222-8222-222222222222",
"name": "List Brochures in Folder",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-280,
240
],
"id": "c3333333-3333-4333-8333-333333333333",
"name": "Download Each Brochure",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "course-brochures",
"mode": "list",
"cachedResultName": "course-brochures"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.3,
"position": [
-20,
200
],
"id": "c4444444-4444-4444-8444-444444444444",
"name": "Qdrant Vector Store (Insert)",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
-100,
440
],
"id": "c5555555-5555-4555-8555-555555555555",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"options": {
"metadata": {
"metadataValues": [
{
"name": "source",
"value": "={{ $('Download Each Brochure').item.json.name }}"
},
{
"name": "file_id",
"value": "={{ $('Download Each Brochure').item.json.id }}"
}
]
}
}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
120,
440
],
"id": "c6666666-6666-4666-8666-666666666666",
"name": "Default Data Loader"
},
{
"parameters": {
"chunkSize": 1000,
"chunkOverlap": 150,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
180,
640
],
"id": "c7777777-7777-4777-8777-777777777777",
"name": "Recursive Character Text Splitter"
},
{
"parameters": {
"content": "## Manual ingestion \u2192 Qdrant\n\n1. Upload the 20 brochures to a Google Drive folder.\n2. Set the folder ID in **List Brochures in Folder**.\n3. Pick your Google Drive, Qdrant & OpenAI credentials.\n4. In Qdrant, create a collection named `course-brochures` with **size 1536** and distance **Cosine** (see LEARNER-GUIDE.md). n8n can also auto-create it on first insert.\n5. Click **Execute workflow** to embed & upsert all brochures.",
"height": 300,
"width": 380,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-720,
-140
],
"id": "c8888888-8888-4888-8888-888888888888",
"name": "Sticky Note"
}
],
"connections": {
"When clicking 'Execute workflow'": {
"main": [
[
{
"node": "List Brochures in Folder",
"type": "main",
"index": 0
}
]
]
},
"List Brochures in Folder": {
"main": [
[
{
"node": "Download Each Brochure",
"type": "main",
"index": 0
}
]
]
},
"Download Each Brochure": {
"main": [
[
{
"node": "Qdrant Vector Store (Insert)",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store (Insert)",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store (Insert)",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"meta": {
"templatecredsSetupCompleted": false
},
"tags": [
{
"name": "RAG Ingestion"
}
]
}
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.
googleDriveOAuth2ApiopenAiApiqdrantApi
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About this workflow
Upload Brochures to Qdrant (Manual Trigger). Uses googleDrive, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.
Source: https://github.com/tertiarycourses/TGS-2026062147-No-Code-and-Low-Code-Agentic-AI-Applications/blob/main/labs/activity7-rag/Activity7b-Qdrant-Upload.json — original creator credit. Request a take-down →
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