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与PostgreSQL数据库对话

中级

这是一个Engineering, Product, AI, IT Ops领域的自动化工作流,包含 11 个节点。主要使用 PostgresTool, Agent, ChatTrigger, LmChatOpenAi, MemoryBufferWindow 等节点,结合人工智能技术实现智能自动化。 与PostgreSQL数据库对话

前置要求
  • PostgreSQL 数据库连接信息
  • OpenAI API Key
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
{
  "id": "eOUewYsEzJmQixI6",
  "meta": {
    "instanceId": "77c4feba8f41570ef06dc76ece9a6ded0f0d44f7f1477a64c2d71a8508c11faa",
    "templateCredsSetupCompleted": true
  },
  "name": "与 PostgreSQL 数据库聊天",
  "tags": [],
  "nodes": [
    {
      "id": "6501a54f-a68c-452d-b353-d7e871ca3780",
      "name": "当收到聊天消息时",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -300,
        -80
      ],
      "webhookId": "cf1de04f-3e38-426c-89f0-3bdb110a5dcf",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "cd32221b-2a36-408d-b57e-8115fcd810c9",
      "name": "AI 代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        0,
        -80
      ],
      "parameters": {
        "agent": "openAiFunctionsAgent",
        "options": {
          "systemMessage": "You are DB assistant. You need to run queries in DB aligned with user requests.\n\nRun custom SQL query to aggregate data and response to user. Make sure every table has schema prefix to it in sql query which you can get from `Get DB Schema and Tables List` tool.\n\nFetch all data to analyse it for response if needed.\n\n## Tools\n\n- Execute SQL query - Executes any sql query generated by AI\n- Get DB Schema and Tables List - Lists all the tables in database with its schema name\n- Get Table Definition - Gets the table definition from db using table name and schema name"
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "8accbeeb-7eaf-4e9e-aabc-de8ab3a0459b",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -60,
        160
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "48uG61Ilo8jndw3r",
          "name": "Your OpenAI Account Credentials"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "11f2013f-a080-4c9e-8773-c90492e2c628",
      "name": "获取表定义",
      "type": "n8n-nodes-base.postgresTool",
      "position": [
        780,
        140
      ],
      "parameters": {
        "query": "select\n  c.column_name,\n  c.data_type,\n  c.is_nullable,\n  c.column_default,\n  tc.constraint_type,\n  ccu.table_name AS referenced_table,\n  ccu.column_name AS referenced_column\nfrom\n  information_schema.columns c\nLEFT join\n  information_schema.key_column_usage kcu\n  ON c.table_name = kcu.table_name\n  AND c.column_name = kcu.column_name\nLEFT join\n  information_schema.table_constraints tc\n  ON kcu.constraint_name = tc.constraint_name\n  AND tc.constraint_type = 'FOREIGN KEY'\nLEFT join\n  information_schema.constraint_column_usage ccu\n  ON tc.constraint_name = ccu.constraint_name\nwhere\n  c.table_name = '{{ $fromAI(\"table_name\") }}'\n  AND c.table_schema = '{{ $fromAI(\"schema_name\") }}'\norder by\n  c.ordinal_position",
        "options": {},
        "operation": "executeQuery",
        "descriptionType": "manual",
        "toolDescription": "Get table definition to find all columns and types"
      },
      "credentials": {
        "postgres": {
          "id": "nGI61D0TEEZz18rr",
          "name": "Your Postgresql Database Credentials"
        }
      },
      "typeVersion": 2.5
    },
    {
      "id": "760bc9bc-0057-4088-b3f0-3ee37b3519df",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        -240
      ],
      "parameters": {
        "color": 5,
        "width": 560,
        "height": 120,
        "content": "### 👨‍🎤 设置"
      },
      "typeVersion": 1
    },
    {
      "id": "0df33341-c859-4a54-b6d9-a99670e8d76d",
      "name": "聊天历史",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        120,
        160
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "4938b22e-f187-4ca0-b9f1-60835e823799",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        360,
        300
      ],
      "parameters": {
        "color": 7,
        "width": 562,
        "height": 156,
        "content": "🛠️ 使用的工具:"
      },
      "typeVersion": 1
    },
    {
      "id": "39780c78-4fbc-403e-a220-aa6a4b06df8c",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        300
      ],
      "parameters": {
        "color": 7,
        "width": 162,
        "height": 99,
        "content": "👆 您可以用任何其他聊天模型替换此模型。"
      },
      "typeVersion": 1
    },
    {
      "id": "28a5692c-5003-46cb-9a09-b7867734f446",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        100,
        300
      ],
      "parameters": {
        "color": 7,
        "width": 162,
        "height": 159,
        "content": "👆 您可以使用 `Context Window Length` 选项更改要保留的消息数量。默认为 5。"
      },
      "typeVersion": 1
    },
    {
      "id": "c18ced71-6330-4ba0-9c52-1bb5852b3039",
      "name": "执行 SQL 查询",
      "type": "n8n-nodes-base.postgresTool",
      "position": [
        380,
        140
      ],
      "parameters": {
        "query": "{{ $fromAI(\"sql_query\", \"SQL Query\") }}",
        "options": {},
        "operation": "executeQuery",
        "descriptionType": "manual",
        "toolDescription": "Get all the data from Postgres, make sure you append the tables with correct schema. Every table is associated with some schema in the database."
      },
      "credentials": {
        "postgres": {
          "id": "nGI61D0TEEZz18rr",
          "name": "Your Postgresql Database Credentials"
        }
      },
      "typeVersion": 2.5
    },
    {
      "id": "557623c6-e499-48a6-a066-744f64f8b6f3",
      "name": "获取数据库模式和表列表",
      "type": "n8n-nodes-base.postgresTool",
      "position": [
        580,
        140
      ],
      "parameters": {
        "query": "SELECT \n    table_schema,\n    table_name\nFROM information_schema.tables\nWHERE table_type = 'BASE TABLE'\n    AND table_schema NOT IN ('pg_catalog', 'information_schema')\nORDER BY table_schema, table_name;",
        "options": {},
        "operation": "executeQuery",
        "descriptionType": "manual",
        "toolDescription": "Get list of all tables with their schema in the database"
      },
      "credentials": {
        "postgres": {
          "id": "nGI61D0TEEZz18rr",
          "name": "Your Postgresql Database Credentials"
        }
      },
      "typeVersion": 2.5
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "10c7c74e-b383-4ac7-8cb2-c9a15a2818fe",
  "connections": {
    "Chat History": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Execute SQL Query": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Get Table Definition": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get DB Schema and Tables List": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "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 - 工程, 产品, 人工智能, IT 运维

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11
分类4
节点类型6
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
KumoHQ

KumoHQ

@kumohq

AI Automation agency with over 3 years experience helping businesses to streamline their manual processes using AI agents. Use our link to book a free consultation for custom AI solutions and workflows.

外部链接
在 n8n.io 查看

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