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使用OpenAI和Milvus向量数据库创建Paul Graham文章问答系统

高级

这是一个AI领域的自动化工作流，包含 22 个节点。主要使用 Html, Limit, SplitOut, HttpRequest, ManualTrigger 等节点，结合人工智能技术实现智能自动化。 使用OpenAI和Milvus向量数据库创建Paul Graham文章问答系统

前置要求
  • •可能需要目标 API 的认证凭证
  • •OpenAI API Key

使用的节点 (22)

Html
Limit
SplitOut
StickyNote
HttpRequest
ManualTrigger
ChatTrigger
LmChatOpenAi
ChainRetrievalQa
EmbeddingsOpenAi
VectorStoreMilvus
RetrieverVectorStore
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

分类

人工智能
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
{
  "meta": {
    "instanceId": "89c9c2dbc29ad74e9e02caaf3e27ce718c567278274962e355a9a9679d5f3af7"
  },
  "nodes": [
    {
      "id": "33e94ee1-4244-4075-bb4b-93a99a2cacd9",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        20,
        560
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "dd97266d-a039-4d8f-bc7d-fb439ad5a6d7",
      "name": "当点击\"执行工作流\"时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -180,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c4d4a979-3182-46c9-b145-fa4e6ba57011",
      "name": "获取文章列表",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        80,
        0
      ],
      "parameters": {
        "url": "http://www.paulgraham.com/articles.html",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "2e2913f9-d01a-41e8-b1b8-9a981910db7b",
      "name": "提取文章名称",
      "type": "n8n-nodes-base.html",
      "position": [
        280,
        0
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "essay",
              "attribute": "href",
              "cssSelector": "table table a",
              "returnArray": true,
              "returnValue": "attribute"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "c121dc65-37e3-49d4-b449-f28491e19a6f",
      "name": "拆分为单独项",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        480,
        0
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "essay"
      },
      "typeVersion": 1
    },
    {
      "id": "5644c48d-62b6-4e2d-ad25-013b55f5ec71",
      "name": "获取文章文本",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        880,
        0
      ],
      "parameters": {
        "url": "=http://www.paulgraham.com/{{ $json.essay }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "cd84596e-4046-4d33-9f43-cf464e5c5c01",
      "name": "限制为前3个",
      "type": "n8n-nodes-base.limit",
      "position": [
        680,
        0
      ],
      "parameters": {
        "maxItems": 3
      },
      "typeVersion": 1
    },
    {
      "id": "318aeeed-fcce-4de2-aa04-92033ef01f28",
      "name": "仅提取文本",
      "type": "n8n-nodes-base.html",
      "position": [
        1200,
        0
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "data",
              "cssSelector": "body",
              "skipSelectors": "img,nav"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "0668851e-a31f-4e6e-8966-4544092e318e",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        -120
      ],
      "parameters": {
        "width": 1071.752021563343,
        "height": 285.66037735849045,
        "content": "## 抓取最新的Paul Graham文章"
      },
      "typeVersion": 1
    },
    {
      "id": "cf9af24c-9e08-4f27-ad4e-509f72e54a9b",
      "name": "便签5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1120,
        -120
      ],
      "parameters": {
        "width": 625,
        "height": 607,
        "content": "## 加载到Milvus向量存储"
      },
      "typeVersion": 1
    },
    {
      "id": "95e9a59d-1832-4eb7-b58d-ba391c1acb1c",
      "name": "当收到聊天消息时",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -200,
        380
      ],
      "webhookId": "cd2703a7-f912-46fe-8787-3fb83ea116ab",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "0076ea3d-e667-4df2-83c3-9de0d3de0498",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -380,
        -160
      ],
      "parameters": {
        "width": 280,
        "height": 180,
        "content": "## 步骤1"
      },
      "typeVersion": 1
    },
    {
      "id": "e90a069e-cfd8-49f1-8fe6-a334bb920027",
      "name": "Milvus向量存储",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
      "position": [
        1420,
        0
      ],
      "parameters": {
        "mode": "insert",
        "options": {
          "clearCollection": true
        },
        "milvusCollection": {
          "__rl": true,
          "mode": "list",
          "value": "my_collection",
          "cachedResultName": "my_collection"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "d786c471-d564-4f25-beab-f1c7f4559f7a",
      "name": "默认数据加载器",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1460,
        220
      ],
      "parameters": {
        "options": {},
        "jsonData": "={{ $('Extract Text Only').item.json.data }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "26730b7b-2bb9-46f8-83c3-3d4ffdfdef57",
      "name": "OpenAI 嵌入",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1320,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "de836110-4073-44d5-bbf3-d57f57525f69",
      "name": "递归字符文本分割器",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1540,
        340
      ],
      "parameters": {
        "options": {},
        "chunkSize": 6000
      },
      "typeVersion": 1
    },
    {
      "id": "ddaa936e-416a-40e4-adf6-cf7ebfb8b094",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -380,
        280
      ],
      "parameters": {
        "width": 280,
        "height": 120,
        "content": "## 步骤2"
      },
      "typeVersion": 1
    },
    {
      "id": "f5b7410f-37c7-40ff-b841-12ed04252317",
      "name": "Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        80,
        860
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "7a5d1b3f-9b2c-4943-9b40-2a213e30159c",
      "name": "Milvus向量存储1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
      "position": [
        120,
        720
      ],
      "parameters": {
        "milvusCollection": {
          "__rl": true,
          "mode": "list",
          "value": "my_collection",
          "cachedResultName": "my_collection"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "2402387f-e147-4239-9128-34af296e0012",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -20,
        360
      ],
      "parameters": {
        "color": 7,
        "width": 574,
        "height": 629,
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "3665ef25-e464-496a-84d6-980b96e78e9a",
      "name": "从Milvus检索并回答问题的问答链",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        120,
        380
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.5
    },
    {
      "id": "10bf4a2c-ee2b-4185-b1e5-29b8664078fb",
      "name": "Milvus向量存储检索器",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
        260,
        580
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Fetch Essay List": {
      "main": [
        [
          {
            "node": "Extract essay names",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Limit to first 3": {
      "main": [
        [
          {
            "node": "Fetch essay texts",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Milvus Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Extract Text Only": {
      "main": [
        [
          {
            "node": "Milvus Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch essay texts": {
      "main": [
        [
          {
            "node": "Extract Text Only",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI1": {
      "ai_embedding": [
        [
          {
            "node": "Milvus Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Milvus Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Extract essay names": {
      "main": [
        [
          {
            "node": "Split out into items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Milvus Vector Store1": {
      "ai_vectorStore": [
        [
          {
            "node": "Milvus Vector Store Retriever",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Split out into items": {
      "main": [
        [
          {
            "node": "Limit to first 3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Milvus Vector Store Retriever": {
      "ai_retriever": [
        [
          {
            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "ai_retriever",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Execute Workflow\"": {
      "main": [
        [
          {
            "node": "Fetch Essay List",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "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？

高级 - 人工智能

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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难度等级
高级
节点数量22
分类1
节点类型14
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Cheney Zhang

Cheney Zhang

@zc277584121

Algorithm engineer at Zilliz, dedicating to the application of vector databases in the AI ecosystem.

外部链接
在 n8n.io 查看 →

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