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": "pd_automacao_n8n_fluxo_rag",
"nodes": [
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "1nSDfKFNjIb5adTQxpL8XLLoHZtWHdOwn",
"mode": "list",
"cachedResultName": "Intelig\u00eancia_artificial.pdf",
"cachedResultUrl": "https://drive.google.com/file/d/1nSDfKFNjIb5adTQxpL8XLLoHZtWHdOwn/view?usp=drivesdk"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "application/pdf"
}
},
"fileName": "dados.pdf"
}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
96,
-32
],
"id": "ae1c9b95-5f19-4ee2-9520-4ce24fc33985",
"name": "Download file",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
464,
128
],
"id": "41f2fcd3-7283-444a-83f5-c4ee7ca6d8b1",
"name": "Default Data Loader"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
256,
128
],
"id": "95d7e0b2-334d-430b-8ead-166c065194d8",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.3,
"position": [
304,
-32
],
"id": "1e84b180-76d2-4d99-a4f6-2b6d1a465fab",
"name": "Supabase Vector Store - inclus\u00e3o de arquivo",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolDescription": "Get the data from the Intelig\u00eancia Artificial data file. If you did not find the answear in the data file, answear: \"Desculpe, eu n\u00e3o encontrei a informa\u00e7\u00e3o solicitada na base de dados!\"",
"tableName": {
"__rl": true,
"value": "new_vector",
"mode": "list",
"cachedResultName": "new_vector"
},
"options": {
"queryName": "match_new_vector"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.3,
"position": [
-224,
-96
],
"id": "dd5fd601-3dc1-4547-939a-7e2145147910",
"name": "Supabase Vector Store - busca no arquivo",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"path": "0ae7788b-5830-4509-be59-bd9ac13b95cf"
},
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"typeVersion": 2,
"position": [
-464,
-304
],
"id": "6a1d530d-08a6-4a35-ad47-b18df67ce34c",
"name": "MCP Server Trigger"
}
],
"connections": {
"Download file": {
"main": [
[
{
"node": "Supabase Vector Store - inclus\u00e3o de arquivo",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store - inclus\u00e3o de arquivo",
"type": "ai_document",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store - inclus\u00e3o de arquivo",
"type": "ai_embedding",
"index": 0
},
{
"node": "Supabase Vector Store - busca no arquivo",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Supabase Vector Store - busca no arquivo": {
"ai_tool": [
[
{
"node": "MCP Server Trigger",
"type": "ai_tool",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": true
},
"versionId": "8e3d8c7e-d451-49fe-ab30-345033886b6d",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "BtykW5DcCytnQJR0",
"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.
googleDriveOAuth2ApiopenAiApisupabaseApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
pd_automacao_n8n_fluxo_rag. Uses googleDrive, documentDefaultDataLoader, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 6 nodes.
Source: https://github.com/kleberga/pd_automacao_n8n/blob/c295aae25a4598d3089c2da67d1fec1984366b02/pd_automacao_n8n_fluxo_rag.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Your AI workforce is ready. Are you?
SupaBase. Uses manualTrigger, googleDrive, vectorStoreSupabase, documentDefaultDataLoader. Event-driven trigger; 6 nodes.
RAG_Ingest. Uses httpRequest, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 73 nodes.
Chat with docs - 5minAI New version. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 62 nodes.
I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows.