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": "RAG AI Agent",
"nodes": [
{
"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"id": "33ff568b-7ff5-4693-b00b-d788cde46c0b",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
1060,
520
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('When chat message received').item.json.sessionId }}"
},
"id": "f7f4e28a-0d29-4eb7-978d-95df0e56a3ae",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.2,
"position": [
1200,
520
]
},
{
"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"id": "0fe1d709-eb31-4110-830e-167e3a551eb2",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
1940,
760
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "fileFolder",
"queryString": "={{ $json.query.query }}",
"limit": 1,
"filter": {},
"options": {}
},
"id": "63cd26be-3e7e-4bc0-bb3e-4d66784e3585",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
440,
780
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {
"binaryPropertyName": "data",
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
}
},
"id": "4db2b70d-4fc9-4e7c-b987-5f2258da3b16",
"name": "Get File Content",
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
660,
780
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $json.data }}",
"options": {}
},
"id": "b0f5c545-ae2d-4a66-be57-ce554d8e615e",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
1200,
1000
]
},
{
"parameters": {},
"id": "89c7d5f5-99be-4ffe-92ef-32fa53c06c1f",
"name": "Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"typeVersion": 1,
"position": [
1200,
1180
]
},
{
"parameters": {
"operation": "text",
"options": {}
},
"id": "cf4ab541-026f-4ec2-9875-c575a5ae75d8",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
880,
780
]
},
{
"parameters": {
"model": "text-embedding-3-large",
"options": {}
},
"id": "dad0f35a-e10d-4192-b614-86e37de826ce",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1,
"position": [
1040,
1000
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "text-embedding-3-large",
"options": {}
},
"id": "bf80fd4d-0f65-4683-8f44-b973bfb6bb27",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1,
"position": [
1760,
840
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"httpMethod": "POST",
"path": "add_doc_to_vector_db",
"authentication": "headerAuth",
"responseMode": "lastNode",
"options": {}
},
"id": "2f39795b-02cd-4e0e-9229-f55526b9f28a",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
220,
780
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"name": "add_file_to_vector_db",
"description": "Use this to search for a file in Google Drive, download it, and add it to the vector DB knowledgebase for future querying.",
"workflowId": "VYQ5kVPM57CJavof",
"responsePropertyName": "metadata",
"specifyInputSchema": true,
"jsonSchemaExample": "{\n\t\"query\": \"Meeting notes from last week\"\n}"
},
"id": "4e1df3b5-e802-482c-9f35-2d36f90d66b9",
"name": "Add Google Drive File to Vector DB",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 1.1,
"position": [
1560,
620
]
},
{
"parameters": {
"name": "user_documents",
"description": "Contains all the user's documents that you can check for context to answer user questions."
},
"id": "79343f67-0eec-4c8b-923c-87e731a18858",
"name": "Retrieve Documents",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1,
"position": [
1760,
620
]
},
{
"parameters": {
"content": "## Agent Tools for RAG",
"height": 528.85546469693,
"width": 583.4552380860637,
"color": 4
},
"id": "241c3005-9fb6-45fd-be5e-31a3eb95c64e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1480,
440
]
},
{
"parameters": {
"content": "## Tool to Add a Google Drive File to Vector DB",
"height": 661.3783861449286,
"width": 1290.2441524753906,
"color": 5
},
"id": "d7317244-3528-4cd8-b68e-a4c6d7521589",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
180,
700
]
},
{
"parameters": {
"content": "## RAG AI Agent with Chat Interface",
"height": 464.8027193303974,
"width": 692.7866482806627
},
"id": "2755e53b-bcfa-41af-bd23-f33122e6aad0",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
780,
220
]
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('When chat message received').item.json.chatInput }}",
"options": {
"systemMessage": "You are a personal assistant who helps answer questions from a corpus of documents when you don't know the answer yourself."
}
},
"id": "018af08d-ae24-4c3a-955d-fa28de9f37b5",
"name": "RAG AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.6,
"position": [
1160,
300
]
},
{
"parameters": {
"memoryKey": "user_documents"
},
"id": "7de087ea-258b-448f-ad81-cb76a7467cfe",
"name": "In-Memory Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1,
"position": [
1660,
740
]
},
{
"parameters": {
"mode": "insert",
"memoryKey": "=user_documents"
},
"id": "dc9aecd0-3fd7-4306-9ce5-5cbde0f8e5dd",
"name": "In-Memory Vector Store Inserter",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1,
"position": [
1120,
780
]
},
{
"parameters": {
"options": {}
},
"id": "fac880f8-9155-4f6d-bf5f-921643eac390",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
840,
300
]
}
],
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "RAG AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "RAG AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Retrieve Documents",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Drive": {
"main": [
[
{
"node": "Get File Content",
"type": "main",
"index": 0
}
]
]
},
"Get File Content": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "In-Memory Vector Store Inserter",
"type": "ai_document",
"index": 0
}
]
]
},
"Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "In-Memory Vector Store Inserter",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "In-Memory Vector Store Inserter",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "In-Memory Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Add Google Drive File to Vector DB": {
"ai_tool": [
[
{
"node": "RAG AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Retrieve Documents": {
"ai_tool": [
[
{
"node": "RAG AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"In-Memory Vector Store": {
"ai_vectorStore": [
[
{
"node": "Retrieve Documents",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "RAG AI Agent",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "fb0f8eba-375e-4dd4-a25f-4eb1d99e1faf",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "HuSVDGWbGX8K09N1",
"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.
googleDriveOAuth2ApihttpHeaderAuthopenAiApi
About this workflow
RAG AI Agent. Uses lmChatOpenAi, memoryBufferWindow, googleDrive, documentDefaultDataLoader. Webhook trigger; 20 nodes.
Source: https://github.com/daboi2331/ai-agents-masterclass/blob/main/9-n8n-rag-agent/n8n_Workflow_RAG_AI_Agent.json — original creator credit. Request a take-down →