This workflow follows the Chainretrievalqa → Retrievervectorstore 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 →
{
"createdAt": "2025-09-17T05:47:59.457Z",
"updatedAt": "2025-09-18T17:08:06.222Z",
"id": "WtkK75lu6sUAhthF",
"name": "d23-RAG",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"public": true,
"initialMessages": "\u55e8\uff0c\u6211\u662f Huanry \u7684\u5c0f\u5e6b\u624b \ud83e\udd16\u2728 \n\u6211\u6703\u6839\u64da Huanry \u7684\u300c30 \u5929\u751f\u6210\u5f0f AI \u5de5\u4f5c\u6d41\uff1a\u793e\u7fa4\u7d93\u71df\u8005\u7684\u81ea\u52d5\u5316\u5be6\u6230\u300d\u7cfb\u5217\u6587\u7ae0\uff0c\u4f86\u56de\u7b54\u4f60\u95dc\u65bc **n8n \u81ea\u52d5\u5316** \u7684\u5404\u7a2e\u554f\u984c\uff01\n\n\ud83d\udcda [\u67e5\u770b\u7cfb\u5217\u6587\u7ae0](https://ithelp.ithome.com.tw/users/20178495/ironman/8470)\n\n\u6b61\u8fce\u96a8\u6642\u554f\u6211\u4efb\u4f55\u76f8\u95dc\u554f\u984c\uff0c\u8b93\u6211\u5011\u4e00\u8d77\u89e3\u9396\u81ea\u52d5\u5316\u7684\u5a01\u529b\u5427\uff01\ud83d\ude80",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.3,
"position": [
0,
0
],
"id": "cef15755-fe7a-4911-9454-7bc5c0732a67",
"name": "When chat message received"
},
{
"parameters": {
"options": {
"systemPromptTemplate": "\u77e5\u8b58\u5eab\u4e2d\u5b58\u6709 Huanry \u64b0\u5beb\u7684 n8n \u5b78\u7fd2\u7d93\u9a57\u6587\u7ae0\u3002\n\u7576\u6709\u4eba\u63d0\u554f\u6642\uff0c\u512a\u5148\u6839\u64da\u9019\u4e9b\u6587\u7ae0\u5167\u5bb9\u56de\u7b54\uff0c\u4e26\u4e14\u53ef\u4ee5\u56de\u50b3\u76f8\u95dc\u6587\u7ae0\u9023\u7d50\u3002\n\u5982\u679c\u77e5\u8b58\u5eab\u4e2d \u6c92\u6709\u76f8\u95dc\u5167\u5bb9\uff0c\u518d\u7528\u4e00\u822c\u65b9\u5f0f\u6b63\u5e38\u56de\u7b54\u554f\u984c\u3002\n\u82e5\u771f\u7684\u4e0d\u77e5\u9053\u7b54\u6848\uff0c\u8acb\u76f4\u63a5\u56de\u7b54\u300c\u6211\u4e0d\u77e5\u9053\u300d\uff0c\u4e0d\u8981\u634f\u9020\u7b54\u6848\u3002\n---------------- \nContext: {context}"
}
},
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"typeVersion": 1.6,
"position": [
256,
0
],
"id": "ead0cee4-e3fc-4ef8-82db-604b2d0d5418",
"name": "Question and Answer Chain"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
224,
224
],
"id": "c530149f-1fd7-4d1f-8660-7c300c685eba",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"typeVersion": 1,
"position": [
352,
224
],
"id": "cc597f05-144a-4c4c-aa1f-076c78662f43",
"name": "Vector Store Retriever"
},
{
"parameters": {
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1.3,
"position": [
352,
432
],
"id": "22c64f7e-c060-4dba-b453-b7e5a5786bed",
"name": "Supabase Vector Store",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
"typeVersion": 1,
"position": [
432,
640
],
"id": "ed990dc0-5c93-43e4-aa1c-b80fa168ae9f",
"name": "Embeddings Google Gemini",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "return [\n {\n json: {\n text: $json[\"response\"] // \u53d6\u51fa response \u6b04\u4f4d\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
608,
0
],
"id": "54927ccc-6069-4ec0-929f-7bb79be09d13",
"name": "Code in JavaScript"
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Question and Answer Chain",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Supabase Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Embeddings Google Gemini": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Question and Answer Chain": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"meta": {
"templateCredsSetupCompleted": true
},
"versionId": "5c383417-dfc3-4475-9674-c87be638b3a3",
"triggerCount": 1,
"shared": [
{
"createdAt": "2025-09-17T05:47:59.457Z",
"updatedAt": "2025-09-17T05:47:59.457Z",
"role": "workflow:owner",
"workflowId": "WtkK75lu6sUAhthF",
"projectId": "6NV7foKyOeJG8Mz6"
}
],
"tags": [
{
"createdAt": "2025-09-14T06:27:04.834Z",
"updatedAt": "2025-09-14T06:27:04.834Z",
"id": "S14KyMmdLj6QsyYh",
"name": "ithome"
}
]
}
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.
googlePalmApisupabaseApi
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About this workflow
d23-RAG. Uses chatTrigger, chainRetrievalQa, lmChatGoogleGemini, retrieverVectorStore. Chat trigger; 7 nodes.
Source: https://github.com/021up/n8n-learning/blob/49f45cd43f666b70234161b0501047e7c4470105/ITHome/WtkK75lu6sUAhthF.json — original creator credit. Request a take-down →
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