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RAG驱动的AI语音客户支持代理(Supabase + Gemini + ElevenLabs)

中级

这是一个Support Chatbot, Multimodal AI领域的自动化工作流,包含 14 个节点。主要使用 Code, Webhook, Supabase, Aggregate, GoogleDocs 等节点。 RAG驱动的AI语音客户支持代理(Supabase + Gemini + ElevenLabs)

前置要求
  • HTTP Webhook 端点(n8n 会自动生成)
  • Supabase URL 和 API Key
  • 可能需要目标 API 的认证凭证
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "meta": {
    "instanceId": "b6731f6e46273cffeac6b5188a5b3bcb0840c00108e73b48ae2b799ac6e8e081",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "ce5697a5-fe3c-42eb-b93a-51e2abe35e90",
      "name": "Aggregate",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        784,
        -64
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d2671671-b493-4580-8eb4-02bce32ede8f",
      "name": "基础LLM链",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1040,
        -64
      ],
      "parameters": {},
      "typeVersion": 1.7
    },
    {
      "id": "31b1d89e-696f-4c85-b0eb-80d395934e86",
      "name": "搜索嵌入向量",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        560,
        -64
      ],
      "parameters": {},
      "typeVersion": 4.2
    },
    {
      "id": "38bee46c-b303-4649-bb61-039eae8c3d3a",
      "name": "Embend User Message",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        336,
        -64
      ],
      "parameters": {},
      "typeVersion": 4.2
    },
    {
      "id": "a9c57108-69ab-462b-8b54-8b3a21dff7f5",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        112,
        -64
      ],
      "webhookId": "3d74ca69-4efe-4734-8b22-69b21247d9a8",
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "01c3dd7b-c16b-41fe-bb52-81262eca44fb",
      "name": "响应Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1456,
        -64
      ],
      "parameters": {},
      "typeVersion": 1.4
    },
    {
      "id": "49185bf9-d983-42a7-87f9-42418c070d53",
      "name": "Content for the Training",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        -1136,
        16
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "9b21eb3f-c27b-4664-87b1-fa41f0d0930b",
      "name": "Splitting into Chunks",
      "type": "n8n-nodes-base.code",
      "position": [
        -912,
        16
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "389b9fc5-ff9d-4278-bc3a-1507c18f510f",
      "name": "Embedding Uploaded document",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -688,
        16
      ],
      "parameters": {},
      "typeVersion": 4.2
    },
    {
      "id": "d72d773e-c574-452e-9a83-5f6eb8dff830",
      "name": "Save the embedding in DB",
      "type": "n8n-nodes-base.supabase",
      "position": [
        -464,
        16
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "1471ef70-cb30-4558-8117-bd62fc909231",
      "name": "当点击‘执行工作流’时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1344,
        16
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d6b9cf3d-5b0d-4f6a-8ac0-7166c029063b",
      "name": "Google Vertex Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleVertex",
      "position": [
        1040,
        144
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "1337a267-bca3-46fb-bc1a-6508506d4a45",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1440,
        -752
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "b99ac4fc-4ec1-4b87-9f45-ff9fecc30874",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        -752
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Embend User Message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search Embeddings": {
      "main": [
        [
          {
            "node": "Aggregate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embend User Message": {
      "main": [
        [
          {
            "node": "Search Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitting into Chunks": {
      "main": [
        [
          {
            "node": "Embedding Uploaded document",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Content for the Training": {
      "main": [
        [
          {
            "node": "Splitting into Chunks",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Vertex Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Embedding Uploaded document": {
      "main": [
        [
          {
            "node": "Save the embedding in DB",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Execute workflow’": {
      "main": [
        [
          {
            "node": "Content for the Training",
            "type": "main",
            "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?

中级 - 客服机器人, 多模态 AI

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。

工作流信息
难度等级
中级
节点数量14
分类2
节点类型11
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

外部链接
在 n8n.io 查看

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