Agente de IA RAG con Milvus y Cohere

Name: Agente de IA RAG con Milvus y Cohere
Rating: 4.5 (10 reviews)
Author: Aitor | 1node.ai

Intermedio

Este es unSupport, AI, IT Opsflujo de automatización del dominio deautomatización que contiene 14 nodos.Utiliza principalmente nodos como GoogleDrive, Agent, ExtractFromFile, GoogleDriveTrigger, ChatTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Construye un sistema de preguntas y respuestas RAG para documentos de Google Drive usando Milvus, Cohere y OpenAI

Requisitos previos

•Credenciales de API de Google Drive
•Clave de API de OpenAI

Nodos utilizados (14)

DocumentDefaultDataLoader

TextSplitterRecursiveCharacterTextSplitter

Categoría

Soporte

Inteligencia Artificial

Operaciones de TI

Vista previa del flujo de trabajo

Visualización de las conexiones entre nodos, con soporte para zoom y panorámica

Default Data Loader

Incrustaciones Cohere

Al recibir mensaje de chat

Watch New Files

Download New

Insert into Milvus

RAG Agente

Retrieve from Milvus

OpenAI 4o

Memoria

Cohere embeddings

Establecer Chunks

Extract from File

React Flow

Exportar flujo de trabajo

Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo

{
  "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": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        0,
        320
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "a01b9512-ced1-4e28-a2aa-88077ab79d9a",
      "name": "Incrustaciones 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": "Al recibir mensaje 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": "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": {
          "id": "r1DVmNxwkIL8JO17",
          "name": "Google Drive account"
        }
      },
      "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": {
          "id": "r1DVmNxwkIL8JO17",
          "name": "Google Drive account"
        }
      },
      "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": {
          "id": "Gpsxqr2l9Qxu48h0",
          "name": "Milvus account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
      "name": "RAG Agente",
      "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": {
          "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": "Memoria",
      "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": {
          "id": "8gcYMleu1b8Hm03D",
          "name": "CohereApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3c3a8900-0b98-4479-8602-16b21e011ba1",
      "name": "Establecer 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": "Nota adhesiva",
      "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": {
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "74ccdff1-b976-4e1c-a2c4-237ffff19e34": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Set Chunks": {
      "ai_textSplitter": [
        [
          {
            "node": "361065cc-edbf-47da-8da7-c59b564db6f3",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "001fbdbe-dfcb-4552-bf09-de416b253389": {
      "main": [
        [
          {
            "node": "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "23004477-3f6d-4909-a626-0eba0557a5bd": {
      "main": [
        [
          {
            "node": "001fbdbe-dfcb-4552-bf09-de416b253389",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ec7b6b92-065c-455c-a3f0-17586d9e48d7": {
      "ai_embedding": [
        [
          {
            "node": "a103506e-9019-41f2-9b0d-9b831434c9e9",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings Cohere": {
      "ai_embedding": [
        [
          {
            "node": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07": {
      "main": [
        [
          {
            "node": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "361065cc-edbf-47da-8da7-c59b564db6f3": {
      "ai_document": [
        [
          {
            "node": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "a103506e-9019-41f2-9b0d-9b831434c9e9": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "RAG Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Soporte, Inteligencia Artificial, Operaciones de TI

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

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Información del flujo de trabajo

Nivel de dificultad

Intermedio

Número de nodos14

Categoría3

Tipos de nodos12

Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor

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.

Enlaces externos

Ver en n8n.io →

Compartir este flujo de trabajo

Agente de IA RAG con Milvus y Cohere

Nodos utilizados (14)

Categoría

¿Cómo usar este flujo de trabajo?

¿En qué escenarios es adecuado este flujo de trabajo?

¿Es de pago?

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