Agent RAG IA avec Milvus et Cohere

Intermédiaire

Ceci est unSupport, AI, IT Opsworkflow d'automatisation du domainecontenant 14 nœuds.Utilise principalement des nœuds comme GoogleDrive, Agent, ExtractFromFile, GoogleDriveTrigger, ChatTrigger, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Construire un système de questions-réponses sur les documents RAG pour Google Drive avec Milvus, Cohere et OpenAI

Prérequis
  • Informations d'identification Google Drive API
  • Clé API OpenAI
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "2Eba0OHGtOmoTWOU",
  "meta": {
    "instanceId": "9219ebc7795bea866f70aa3d977d54417fdf06c41944be95e20cfb60f992db19",
    "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": "Chargeur de données par défaut",
      "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": {
          "id": "8gcYMleu1b8Hm03D",
          "name": "CohereApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1da6ea4b-de88-44d3-a215-78c55b5592a2",
      "name": "À la réception d'un message de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -800,
        520
      ],
      "webhookId": "a4257301-3fb9-4b9d-a965-1fa66f314696",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "23004477-3f6d-4909-a626-0eba0557a5bd",
      "name": "Surveiller les nouveaux fichiers",
      "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": {
          "id": "r1DVmNxwkIL8JO17",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "001fbdbe-dfcb-4552-bf09-de416b253389",
      "name": "Télécharger les nouveaux",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -580,
        100
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "r1DVmNxwkIL8JO17",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "c1116cba-beb9-4d28-843d-c5c21c0643de",
      "name": "Insérer dans 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": {
          "id": "Gpsxqr2l9Qxu48h0",
          "name": "Milvus account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
      "name": "Agent RAG",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -540,
        520
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.8
    },
    {
      "id": "a103506e-9019-41f2-9b0d-9b831434c9e9",
      "name": "Récupérer depuis 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": {
          "id": "Gpsxqr2l9Qxu48h0",
          "name": "Milvus account"
        }
      },
      "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": {
          "id": "vupAk5StuhOafQcb",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "36e35eaf-f723-4eeb-9658-143d5bc390a0",
      "name": "Mémoire",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -460,
        740
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "ec7b6b92-065c-455c-a3f0-17586d9e48d7",
      "name": "Embeddings Cohere",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "position": [
        -220,
        900
      ],
      "parameters": {
        "modelName": "embed-multilingual-v3.0"
      },
      "credentials": {
        "cohereApi": {
          "id": "8gcYMleu1b8Hm03D",
          "name": "CohereApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3c3a8900-0b98-4479-8602-16b21e011ba1",
      "name": "Définir les 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": "Extraire du fichier",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        -360,
        100
      ],
      "parameters": {
        "options": {},
        "operation": "pdf"
      },
      "typeVersion": 1
    },
    {
      "id": "e0c9d4d7-5e3e-4e47-bb1f-dbdca360b20a",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1440,
        120
      ],
      "parameters": {
        "color": 2,
        "width": 540,
        "height": 600,
        "content": "## Why Milvus\nBased on comparisons and user feedback, **Milvus is often considered a more performant and scalable vector database solution compared to Supabase**, particularly for demanding use cases involving large datasets, high-volume vector search operations, and multilingual support.\n\n\n### Requirements\n- Create an account on [Zilliz](https://zilliz.com/) to generate the Milvus cluster. \n- There is no need to create docker containers or your own instance, Zilliz provides the cloud infraestructure to build it easily\n- Get your credentials ready from Drive, Milvus (Zilliz), and [Cohere](https://cohere.com)\n\n### Usage\nEvery time a new pdf is added into the Drive folder, it will be inserted into the Milvus Vector Store, allowing for the interaction with the RAG agent in seconds.\n\n## Calculate your company's RAG costs\n\nWant to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator](https://zilliz.com/rag-cost-calculator/)\n\n### Get in touch with us\nWant to implement a RAG AI agent for your company? [Shoot us a message](https://1node.ai)\n"
      },
      "typeVersion": 1
    }
  ],
  "active": true,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "8b5fc2b8-50f7-425c-8fc8-94ba4f76ecf3",
  "connections": {
    "36e35eaf-f723-4eeb-9658-143d5bc390a0": {
      "ai_memory": [
        [
          {
            "node": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "74ccdff1-b976-4e1c-a2c4-237ffff19e34": {
      "ai_languageModel": [
        [
          {
            "node": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "3c3a8900-0b98-4479-8602-16b21e011ba1": {
      "ai_textSplitter": [
        [
          {
            "node": "361065cc-edbf-47da-8da7-c59b564db6f3",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "001fbdbe-dfcb-4552-bf09-de416b253389": {
      "main": [
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            "type": "main",
            "index": 0
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    },
    "23004477-3f6d-4909-a626-0eba0557a5bd": {
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            "type": "main",
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        ]
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    },
    "ec7b6b92-065c-455c-a3f0-17586d9e48d7": {
      "ai_embedding": [
        [
          {
            "node": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "type": "ai_embedding",
            "index": 0
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    "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07": {
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    },
    "361065cc-edbf-47da-8da7-c59b564db6f3": {
      "ai_document": [
        [
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            "node": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "type": "ai_document",
            "index": 0
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        ]
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    },
    "a103506e-9019-41f2-9b0d-9b831434c9e9": {
      "ai_tool": [
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            "type": "ai_tool",
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          }
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      ]
    },
    "1da6ea4b-de88-44d3-a215-78c55b5592a2": {
      "main": [
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            "node": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
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          }
        ]
      ]
    }
  }
}
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 ?

Intermédiaire - Support, Intelligence Artificielle, Opérations IT

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.

Informations sur le workflow
Niveau de difficulté
Intermédiaire
Nombre de nœuds14
Catégorie3
Types de nœuds12
Description de la difficulté

Adapté aux utilisateurs expérimentés, avec des workflows de complexité moyenne contenant 6-15 nœuds

Auteur
Aitor | 1node.ai

Aitor | 1node.ai

@aitoralonso

Hi, I’m Aitor, cofounder of 1node.ai. We help businesses integrate full-scale AI solutions that save time, cut costs, and increase revenue. Guaranteed. Need help building smarter workflows? Visit 1node.ai and let's connect.

Liens externes
Voir sur n8n.io

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Catégories

Catégories: 34