Système de recommandation de produits RAG

Name: Système de recommandation de produits RAG
Rating: 4.5 (10 reviews)
Author: Zain Ali

Avancé

Ceci est unLead Nurturing, AI RAGworkflow d'automatisation du domainecontenant 17 nœuds.Utilise principalement des nœuds comme GoogleSheets, ManualTrigger, SplitInBatches, Agent, ChatTrigger. Faire correspondre les symptômes médicaux aux produits avec RAG, OpenAI, Qdrant et Google Sheets

Prérequis

•Informations d'identification Google Sheets API
•Clé API OpenAI
•Informations de connexion au serveur Qdrant

Nœuds utilisés (17)

DocumentDefaultDataLoader

TextSplitterCharacterTextSplitter

Catégorie

Nurturing de leads

RAG IA

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Agent RAG

When clicking ‘Execute workflow’

Base de données vectorielle Qdrant

Créer un Embedding

Set Data Properly in vector database

Diviser le texte en morceaux

Créer un Embedding2

Boucler sur chaque produit

Obtenir les données de la base de données Qdrant

When chat message received

OpenAI LLM

Stocker les chats

Obtenir tous les produits

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
  "id": "npjeGNOHqwXLz1AX",
  "meta": {
    "instanceId": "b50483b2122f6dc268662b45507d575d939570ea8e1e086601ebb3b6273c1cfd",
    "templateCredsSetupCompleted": true
  },
  "name": "Product Recommendation RAG",
  "tags": [],
  "nodes": [
    {
      "id": "ab7e0eb2-1a72-4dee-8b6a-c6a836fce257",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1360,
        -16
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "8882b64e-5caf-4a05-a7f3-d78b93d9f30c",
      "name": "Agent RAG",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -896,
        160
      ],
      "parameters": {},
      "typeVersion": 1.7
    },
    {
      "id": "3788a0b5-4f73-4bd1-bdca-b659a49710f5",
      "name": "When clicking ‘Execute workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        176,
        192
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ec896b04-a5cc-4cc4-b7ce-3b552e2fe258",
      "name": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -96,
        -32
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "cc6b47eb-87b1-44a8-8319-c5a0254b83ba",
      "name": "Base de données vectorielle Qdrant",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        256,
        544
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "6b5d2b60-f65a-4075-b5a6-415c1fb1dcc8",
      "name": "Créer un Embedding",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        192,
        752
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "9db5b8ae-a9c9-4465-a426-71bb9cda333d",
      "name": "Set Data Properly in vector database",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        384,
        784
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "186a5ebf-57fd-4aa4-8031-89c503603431",
      "name": "Diviser le texte en morceaux",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "position": [
        464,
        960
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b969d3a6-f663-46bd-9207-666861aa4e49",
      "name": "Créer un Embedding2",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -560,
        640
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "37d1974e-0e65-441d-9a22-977035e6e1af",
      "name": "Boucler sur chaque produit",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        800,
        192
      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "d6cff138-2513-4acd-bf37-3e6691b3cf07",
      "name": "Obtenir les données de la base de données Qdrant",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        -656,
        464
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "bf1668c5-cc6a-4ab3-9f97-e9cd701df1ed",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -1120,
        160
      ],
      "webhookId": "07f045cb-bfbf-4f9d-a1dd-4a57a2e3d7f8",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "e05d5065-dec0-435e-a65d-e4f831541388",
      "name": "OpenAI LLM",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -976,
        384
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e14dc3fe-f0e4-479b-ad7e-d5477d478e20",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        96,
        96
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "95f86512-e0f7-48e0-bb44-9b727ecb320a",
      "name": "Note adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        96,
        448
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "672df8d1-81bd-4709-b7be-76cf04c92593",
      "name": "Stocker les chats",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -816,
        384
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "28d9b9f0-0b67-4828-b502-71e6f7c55ad8",
      "name": "Obtenir tous les produits",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        416,
        192
      ],
      "parameters": {},
      "typeVersion": 4.6
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "3cc040a0-9a81-4134-ae19-3efbfb3a8133",
  "connections": {
    "8882b64e-5caf-4a05-a7f3-d78b93d9f30c": {
      "main": [
        []
      ]
    },
    "e05d5065-dec0-435e-a65d-e4f831541388": {
      "ai_languageModel": [
        [
          {
            "node": "8882b64e-5caf-4a05-a7f3-d78b93d9f30c",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "672df8d1-81bd-4709-b7be-76cf04c92593": {
      "ai_memory": [
        [
          {
            "node": "8882b64e-5caf-4a05-a7f3-d78b93d9f30c",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "6b5d2b60-f65a-4075-b5a6-415c1fb1dcc8": {
      "ai_embedding": [
        [
          {
            "node": "cc6b47eb-87b1-44a8-8319-c5a0254b83ba",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "28d9b9f0-0b67-4828-b502-71e6f7c55ad8": {
      "main": [
        [
          {
            "node": "37d1974e-0e65-441d-9a22-977035e6e1af",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "b969d3a6-f663-46bd-9207-666861aa4e49": {
      "ai_embedding": [
        [
          {
            "node": "d6cff138-2513-4acd-bf37-3e6691b3cf07",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "37d1974e-0e65-441d-9a22-977035e6e1af": {
      "main": [
        [],
        [
          {
            "node": "cc6b47eb-87b1-44a8-8319-c5a0254b83ba",
            "type": "main",
            "index": 0
          }
        ]
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    },
    "cc6b47eb-87b1-44a8-8319-c5a0254b83ba": {
      "main": [
        [
          {
            "node": "37d1974e-0e65-441d-9a22-977035e6e1af",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "186a5ebf-57fd-4aa4-8031-89c503603431": {
      "ai_textSplitter": [
        [
          {
            "node": "9db5b8ae-a9c9-4465-a426-71bb9cda333d",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "bf1668c5-cc6a-4ab3-9f97-e9cd701df1ed": {
      "main": [
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            "node": "8882b64e-5caf-4a05-a7f3-d78b93d9f30c",
            "type": "main",
            "index": 0
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    "d6cff138-2513-4acd-bf37-3e6691b3cf07": {
      "ai_tool": [
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            "type": "ai_tool",
            "index": 0
          }
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    },
    "9db5b8ae-a9c9-4465-a426-71bb9cda333d": {
      "ai_document": [
        [
          {
            "node": "cc6b47eb-87b1-44a8-8319-c5a0254b83ba",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "3788a0b5-4f73-4bd1-bdca-b659a49710f5": {
      "main": [
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          {
            "node": "28d9b9f0-0b67-4828-b502-71e6f7c55ad8",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Foire aux questions

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 ?

Avancé - Nurturing de leads, RAG IA

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.