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使用Couchbase向量搜索、Gemini 2.0 Flash和OpenAI的旅行规划代理

中级

这是一个Other、AI领域的自动化工作流，包含 13 个节点。主要使用 Webhook、Agent、VectorStoreCouchbaseSearch、ChatTrigger、EmbeddingsOpenAi 等节点，结合人工智能技术实现智能自动化。 使用Couchbase向量搜索、Gemini 2.0 Flash和OpenAI的旅行规划代理

前置要求
  • •HTTP Webhook 端点（n8n 会自动生成）
  • •OpenAI API Key
  • •Google Gemini API Key

使用的节点 (13 个)

Webhook
StickyNote
Agent
VectorStoreCouchbaseSearch
ChatTrigger
EmbeddingsOpenAi
LmChatGoogleGemini
MemoryBufferWindow
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

分类

Other
AI
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
  "id": "iGAzT789R7Q1fOOE",
  "meta": {
    "instanceId": "7a1e9dd164c758cbdeb7cf88274e567a937a36ed99d4d22ff24b645841097c48",
    "templateId": "3577",
    "templateCredsSetupCompleted": true
  },
  "name": "使用 Couchbase 向量搜索、Gemini 2.0 Flash 和 OpenAI 的旅行规划代理",
  "tags": [],
  "nodes": [
    {
      "id": "0f361616-a552-43ed-9754-794780113955",
      "name": "当收到聊天消息时",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        380,
        240
      ],
      "webhookId": "c22b2240-ff07-44e5-a1aa-63584150a1cb",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e8b9815d-0fe5-4e7c-a20b-1602384580cd",
      "name": "Google Gemini聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        560,
        480
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "a4b15997-de4d-4c78-b623-e936442134af",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        280
      ],
      "parameters": {
        "color": 3,
        "width": 800,
        "height": 500,
        "content": "## 由 Couchbase 驱动的 AI 旅行代理"
      },
      "typeVersion": 1
    },
    {
      "id": "34866f8e-00b0-4706-82d7-491b9531a8b6",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        800,
        1000
      ],
      "webhookId": "3ca6fbdd-a157-4e9d-9042-237048da85b6",
      "parameters": {
        "path": "3ca6fbdd-a157-4e9d-9042-237048da85b6",
        "options": {
          "rawBody": true
        },
        "httpMethod": "POST"
      },
      "typeVersion": 2
    },
    {
      "id": "26d4e62a-42b0-4e09-8585-827e5bcc9fff",
      "name": "默认数据加载器",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1180,
        1360
      ],
      "parameters": {
        "options": {},
        "jsonData": "={{ $json.body.raw_body.point_of_interest.title }} - {{ $json.body.raw_body.point_of_interest.description }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "63fc308f-4d1c-4d24-9b20-68d7e6c2dbba",
      "name": "递归字符文本分割器",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1280,
        1540
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "84f8c32b-8e0c-457c-aaec-17827042674d",
      "name": "便签 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -60,
        1060
      ],
      "parameters": {
        "width": 720,
        "height": 460,
        "content": "## 用于摄取数据的 CURL 命令"
      },
      "typeVersion": 1
    },
    {
      "id": "b2cf8788-849c-4420-b448-bd49caa4941e",
      "name": "简单记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        720,
        480
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "0bf7fef9-f999-42a8-a6a8-ab111fe9a084",
      "name": "AI 旅行代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        600,
        240
      ],
      "parameters": {
        "options": {
          "maxIterations": 10,
          "systemMessage": "You are a helpful assistant for a trip planner. You have a vector search capability to locate points of interest, Use it and don't invent much."
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "3af3c8ce-582b-407c-847a-8063f9ad2e1a",
      "name": "使用 Couchbase 搜索向量检索文档",
      "type": "n8n-nodes-couchbase.vectorStoreCouchbaseSearch",
      "position": [
        860,
        500
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "topK": 10,
        "options": {},
        "toolName": "PointofinterestKB",
        "embedding": "embedding",
        "textFieldKey": "description",
        "couchbaseScope": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        },
        "couchbaseBucket": {
          "__rl": true,
          "mode": "list",
          "value": ""
        },
        "toolDescription": "The list of Points of Interest from the database.",
        "vectorIndexName": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        },
        "couchbaseCollection": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "77a4e857-607a-4bbc-a28d-8a715f9415d5",
      "name": "使用 Couchbase 搜索向量插入文档",
      "type": "n8n-nodes-couchbase.vectorStoreCouchbaseSearch",
      "position": [
        1100,
        1120
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "embedding": "embedding",
        "textFieldKey": "description",
        "couchbaseScope": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        },
        "couchbaseBucket": {
          "__rl": true,
          "mode": "list",
          "value": ""
        },
        "vectorIndexName": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        },
        "embeddingBatchSize": 1,
        "couchbaseCollection": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultUrl": "",
          "cachedResultName": ""
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "4c0274c3-6647-4f45-b7d4-d63cfe2102ea",
      "name": "使用 text-embedding-3-small 生成 OpenAI 嵌入",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        960,
        740
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "83f864fa-a298-4738-a102-ca2d283377de",
      "name": "使用 text-embedding-3-small1 生成 OpenAI 嵌入",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1000,
        1340
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    }
  ],
  "active": true,
  "pinData": {},
  "settings": {
    "callerPolicy": "workflowsFromSameOwner",
    "executionOrder": "v1"
  },
  "versionId": "80e40e5a-35a3-4fa4-b90e-ac9d76897bbd",
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Insert docs with Couchbase Search Vector",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Travel Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Insert docs with Couchbase Search Vector",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Travel Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Travel Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Retrieve docs with Couchbase Search Vector": {
      "ai_tool": [
        [
          {
            "node": "AI Travel Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Generate OpenAI Embeddings using text-embedding-3-small": {
      "ai_embedding": [
        [
          {
            "node": "Retrieve docs with Couchbase Search Vector",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Generate OpenAI Embeddings using text-embedding-3-small1": {
      "ai_embedding": [
        [
          {
            "node": "Insert docs with Couchbase Search Vector",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

这是一个中级难度的工作流，适用于Other、AI等场景。适合有一定经验的用户，包含 6-15 个节点的中等复杂度工作流

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

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工作流信息
难度等级
中级
节点数量13
分类2
节点类型10
难度说明

适合有一定经验的用户，包含 6-15 个节点的中等复杂度工作流

作者
Elliot Scribner

Elliot Scribner

@ejscribner
外部链接
在 n8n.io 上查看 →

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