Stockage vectoriel
Ceci est unEngineering, Multimodal AIworkflow d'automatisation du domainecontenant 13 nœuds.Utilise principalement des nœuds comme GoogleSheets, ConvertToFile, Agent, ChatTrigger, EmbeddingsOpenAi. Utiliser OpenAI et Gemini AI pour créer un stockage de vecteurs de données personnelles à partir de Google Sheets
- •Informations d'identification Google Sheets API
- •Clé API OpenAI
- •Clé API Google Gemini
- •Informations de connexion à la base de données PostgreSQL
- •URL et Clé API Supabase
Nœuds utilisés (13)
Catégorie
{
"id": "nd6AMUkZTTyLUCao",
"meta": {
"instanceId": "c3aa3d6f2185f4557415de4fd4d9322e835a16c7857dfc9bb5c578a3453c93b8",
"templateCredsSetupCompleted": true
},
"name": "Vector Store",
"tags": [
{
"id": "0CVNvLkMsFx0fYp2",
"name": "vector",
"createdAt": "2025-08-12T15:02:22.969Z",
"updatedAt": "2025-08-12T15:02:22.969Z"
},
{
"id": "AGb9sgonhJTDopA7",
"name": "agent",
"createdAt": "2025-08-12T15:02:28.571Z",
"updatedAt": "2025-08-12T15:02:28.571Z"
},
{
"id": "7KrXwk3m9PhErl7A",
"name": "memory",
"createdAt": "2025-08-12T15:02:37.615Z",
"updatedAt": "2025-08-12T15:02:37.615Z"
}
],
"nodes": [
{
"id": "3de1a952-043a-46cc-be79-7e314399351a",
"name": "À la réception d'un message chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-592,
-848
],
"webhookId": "a1c07fe3-73c6-458c-bf3d-30040273a27e",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "0513d68e-6da9-4dae-8afb-1dc02223e727",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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-848
],
"parameters": {
"options": {}
},
"typeVersion": 2.1
},
{
"id": "213e8d03-3414-4b87-8374-4bb56179695c",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-272,
-672
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "yZQEvQxhWU0JUDgM",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "79899926-cff5-45eb-af1e-f468e427dfda",
"name": "Obtenir la/les ligne(s) dans sheet1",
"type": "n8n-nodes-base.googleSheets",
"position": [
-576,
-272
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1gORnXWKOs9ENYCUki_9hLE_H3bZVKnerZqOPhNzVMRc/edit#gid=0",
"cachedResultName": "Birthday"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1gORnXWKOs9ENYCUki_9hLE_H3bZVKnerZqOPhNzVMRc",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1gORnXWKOs9ENYCUki_9hLE_H3bZVKnerZqOPhNzVMRc/edit?usp=drivesdk",
"cachedResultName": "Personal Birthday"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "rNId5842mzkdaFvl",
"name": "Google Sheets GRM"
}
},
"typeVersion": 4.6
},
{
"id": "a7f53efa-8819-4b5a-9489-20fe543b2624",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
-32,
-720
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {
"queryName": "match_personal_data"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "personal_data",
"cachedResultName": "personal_data"
},
"toolDescription": "Personal details table"
},
"credentials": {
"supabaseApi": {
"id": "mQIo3PRJSDAr1T7Y",
"name": "Supabase account"
}
},
"typeVersion": 1.3
},
{
"id": "8510b172-bfe6-4aab-8ca0-c6437e66b766",
"name": "Default Data Loader2",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
96,
-32
],
"parameters": {
"loader": "csvLoader",
"options": {},
"dataType": "binary"
},
"typeVersion": 1.1
},
{
"id": "b178e5a3-3fad-457d-85e1-60505dda4bdd",
"name": "Mémoire de Chat Postgres",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
-160,
-640
],
"parameters": {},
"credentials": {
"postgres": {
"id": "7UcDVxFeJ671y1tk",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "89597607-b666-4b6b-8f55-63b8bf6f44db",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-112,
-80
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "iUylyqZDd8P9Lu2O",
"name": "OpenAi GRM"
}
},
"typeVersion": 1.2
},
{
"id": "b8c7629a-1ff0-401c-888d-b79def975fe3",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-32,
-592
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "iUylyqZDd8P9Lu2O",
"name": "OpenAi GRM"
}
},
"typeVersion": 1.2
},
{
"id": "b0d9356b-9899-4a6b-8ed3-7251dd95907b",
"name": "Convertir en Fichier",
"type": "n8n-nodes-base.convertToFile",
"position": [
-368,
-272
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "88200923-f5f3-433e-aa50-1cdd05b9d178",
"name": "Note Adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
-784,
-384
],
"parameters": {
"width": 1024,
"height": 528,
"content": "## Vector Store Load :file_folder:\n### Insert Personal Data to Vector Store"
},
"typeVersion": 1
},
{
"id": "00c44b09-2c0f-4a23-8360-77e681be263e",
"name": "Note Adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-784,
-1024
],
"parameters": {
"color": 5,
"width": 1024,
"height": 592,
"content": "## Agent :information_desk_person:\n### Agent can answer any personal information on Vector Store"
},
"typeVersion": 1
},
{
"id": "bc8e0fe2-5d56-4cfc-9eb8-b8c6c75b6cee",
"name": "Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
-112,
-272
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_personal_data"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "personal_data",
"cachedResultName": "personal_data"
}
},
"credentials": {
"supabaseApi": {
"id": "mQIo3PRJSDAr1T7Y",
"name": "Supabase account"
}
},
"typeVersion": 1.3
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6ff1646e-f18a-4228-8d17-bd22b50b2bdb",
"connections": {
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}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Ingénierie, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Mustafa Polat
@mpolatWith 20+ years in marketing, I’ve worked as a developer and manager, leading teams and building innovative solutions. My expertise includes data engineering, designing native architectures on Google and AWS cloud, and integrating APIs to optimize workflows. I specialize in developing custom APIs and leveraging data to drive business efficiency, making impactful, data-driven decisions for organizations.
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