This workflow follows the Agent → Chat Trigger 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 →
{
"id": "2Eba0OHGtOmoTWOU",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "RAG AI Agent with Milvus and Cohere",
"tags": [
{
"id": "yj7cF3GCsZiargFT",
"name": "rag",
"createdAt": "2025-05-03T17:14:30.099Z",
"updatedAt": "2025-05-03T17:14:30.099Z"
}
],
"nodes": [
{
"id": "361065cc-edbf-47da-8da7-c59b564db6f3",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
0,
320
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "a01b9512-ced1-4e28-a2aa-88077ab79d9a",
"name": "Embeddings Cohere",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-140,
320
],
"parameters": {
"modelName": "embed-multilingual-v3.0"
},
"credentials": {
"cohereApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "1da6ea4b-de88-44d3-a215-78c55b5592a2",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-800,
520
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "23004477-3f6d-4909-a626-0eba0557a5bd",
"name": "Watch New Files",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-800,
100
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
"cachedResultUrl": "https://drive.google.com/drive/folders/15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
"cachedResultName": "RAG template"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "001fbdbe-dfcb-4552-bf09-de416b253389",
"name": "Download New",
"type": "n8n-nodes-base.googleDrive",
"position": [
-580,
100
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "c1116cba-beb9-4d28-843d-c5c21c0643de",
"name": "Insert into Milvus",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
"position": [
-124,
100
],
"parameters": {
"mode": "insert",
"options": {
"clearCollection": false
},
"milvusCollection": {
"__rl": true,
"mode": "list",
"value": "collectionName",
"cachedResultName": "collectionName"
}
},
"credentials": {
"milvusApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
"name": "RAG Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-540,
520
],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "a103506e-9019-41f2-9b0d-9b831434c9e9",
"name": "Retrieve from Milvus",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
"position": [
-340,
740
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 10,
"toolName": "vector_store",
"toolDescription": "You are an AI agent that responds based on information received from a vector database.",
"milvusCollection": {
"__rl": true,
"mode": "list",
"value": "collectionName",
"cachedResultName": "collectionName"
}
},
"credentials": {
"milvusApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "74ccdff1-b976-4e1c-a2c4-237ffff19e34",
"name": "OpenAI 4o",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-580,
740
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "36e35eaf-f723-4eeb-9658-143d5bc390a0",
"name": "Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-460,
740
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "ec7b6b92-065c-455c-a3f0-17586d9e48d7",
"name": "Cohere embeddings",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-220,
900
],
"parameters": {
"modelName": "embed-multilingual-v3.0"
},
"credentials": {
"cohereApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "3c3a8900-0b98-4479-8602-16b21e011ba1",
"name": "Set Chunks",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
80,
480
],
"parameters": {
"options": {},
"chunkSize": 700,
"chunkOverlap": 60
},
"typeVersion": 1
},
{
"id": "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-360,
100
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "e0c9d4d7-5e3e-4e47-bb1f-dbdca360b20a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1440,
120
],
"parameters": {
"color": 2,
"width": 540,
"height": 600,
"content": "## \uc65c Milvus\uc778\uac00\n\ube44\uad50\uc640 \uc0ac\uc6a9\uc790 \ud53c\ub4dc\ubc31\uc5d0 \uae30\ubc18\ud558\uc5ec, **Milvus\ub294 Supabase\uc5d0 \ube44\ud574 \ub354 \uc6b0\uc218\ud55c \uc131\ub2a5\uacfc \ud655\uc7a5\uc131\uc744 \uac00\uc9c4 \ubca1\ud130 \ub370\uc774\ud130\ubca0\uc774\uc2a4 \uc194\ub8e8\uc158\uc73c\ub85c \uac04\uc8fc\ub418\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4**, \ud2b9\ud788 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b, \uace0\ubd80\ud558 \ubca1\ud130 \uac80\uc0c9 \uc791\uc5c5, \ub2e4\uad6d\uc5b4 \uc9c0\uc6d0\uc774 \uc694\uad6c\ub418\ub294 demanding\ud55c \uc6a9\ub3c4\uc5d0 \uc801\ud569\ud569\ub2c8\ub2e4.\n\n### \uc694\uad6c\uc0ac\ud56d\n- [Zilliz](https://zilliz.com/)\uc5d0\uc11c \uacc4\uc815\uc744 \uc0dd\uc131\ud558\uc5ec Milvus \ud074\ub7ec\uc2a4\ud130\ub97c \uc0dd\uc131\ud558\uc138\uc694. \n- Docker \ucee8\ud14c\uc774\ub108\ub97c \uc0dd\uc131\ud558\uac70\ub098 \uc790\uccb4 \uc778\uc2a4\ud134\uc2a4\ub97c \ub9cc\ub4e4 \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4. Zilliz\uac00 \ud074\ub77c\uc6b0\ub4dc \uc778\ud504\ub77c\ub97c \uc81c\uacf5\ud558\uc5ec \uc27d\uac8c \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n- Drive, Milvus (Zilliz), \ubc0f [Cohere](https://cohere.com)\uc5d0\uc11c \uc790\uaca9 \uc99d\uba85\uc744 \uc900\ube44\ud558\uc138\uc694.\n\n### \uc0ac\uc6a9\ubc95\n\uc0c8\ub85c\uc6b4 PDF\uac00 Drive \ud3f4\ub354\uc5d0 \ucd94\uac00\ub420 \ub54c\ub9c8\ub2e4, \ud574\ub2f9 PDF\ub294 Milvus Vector Store\uc5d0 \uc0bd\uc785\ub418\uc5b4 RAG \uc5d0\uc774\uc804\ud2b8\uc640\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \uba87 \ucd08 \ub9cc\uc5d0 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.\n\n## \ud68c\uc0ac RAG \ube44\uc6a9 \uacc4\uc0b0\ud558\uae30\n\n\uc790\uccb4 \uc11c\ubc84\uc5d0\uc11c n8n\uc73c\ub85c Milvus\ub97c \uc2e4\ud589\ud558\uace0 \uc2f6\uc73c\uc2e0\uac00\uc694? Zilliz\uac00 \ud6cc\ub96d\ud55c [\ube44\uc6a9 \uacc4\uc0b0\uae30](https://zilliz.com/rag-cost-calculator/)\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.\n\n### \ubb38\uc758\ud558\uae30\n\ud68c\uc0ac\uc5d0 RAG AI \uc5d0\uc774\uc804\ud2b8\ub97c \uad6c\ud604\ud558\uace0 \uc2f6\uc73c\uc2e0\uac00\uc694? [\uba54\uc2dc\uc9c0\ub97c \ubcf4\ub0b4\uc8fc\uc138\uc694](https://1node.ai)"
},
"typeVersion": 1
}
],
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "8b5fc2b8-50f7-425c-8fc8-94ba4f76ecf3",
"connections": {
"Memory": {
"ai_memory": [
[
{
"node": "RAG Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenAI 4o": {
"ai_languageModel": [
[
{
"node": "RAG Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Set Chunks": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Download New": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Watch New Files": {
"main": [
[
{
"node": "Download New",
"type": "main",
"index": 0
}
]
]
},
"Cohere embeddings": {
"ai_embedding": [
[
{
"node": "Retrieve from Milvus",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings Cohere": {
"ai_embedding": [
[
{
"node": "Insert into Milvus",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Insert into Milvus",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Insert into Milvus",
"type": "ai_document",
"index": 0
}
]
]
},
"Retrieve from Milvus": {
"ai_tool": [
[
{
"node": "RAG Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "RAG Agent",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
cohereApigoogleDriveOAuth2ApimilvusApiopenAiApi
Pro
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About this workflow
RAG AI Agent with Milvus and Cohere. Uses documentDefaultDataLoader, embeddingsCohere, chatTrigger, googleDriveTrigger. Chat trigger; 14 nodes.
Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8n-workflows-by-Zie619/ai/2Eba0OHGtOmoTWOU_RAG_AI_Agent_with_Milvus_and_Cohere.json — original creator credit. Request a take-down →
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