n8n-workflows/workflows/1294_Compression_Manual_Automation_Webhook.json

{
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  "meta": {
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  "name": "SQL agent with memory",
  "tags": [],
  "nodes": [
    {
      "id": "3544950e-4d8e-46ca-8f56-61c152a5cae3",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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    {
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      "name": "OpenAI Chat Model",
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      "parameters": {
        "model": "gpt-4-turbo",
        "options": {
          "temperature": 0.3
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "rveqdSfp7pCRON1T",
          "name": "Ted's Tech Talks OpenAi"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cc30066c-ad2c-4729-82c1-a6b0f4214dee",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
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      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0deacd0d-45cb-4738-8da0-9d1251858867",
      "name": "Get chinook.zip example",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        700,
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      ],
      "parameters": {
        "url": "https://www.sqlitetutorial.net/wp-content/uploads/2018/03/chinook.zip",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "61f34708-f8ed-44a9-8522-6042d28511ae",
      "name": "Extract zip file",
      "type": "n8n-nodes-base.compression",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1.1
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    {
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      "name": "Save chinook.db locally",
      "type": "n8n-nodes-base.readWriteFile",
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      "parameters": {
        "options": {},
        "fileName": "./chinook.db",
        "operation": "write",
        "dataPropertyName": "file_0"
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      "typeVersion": 1
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    {
      "id": "701d1325-4186-4185-886a-3738163db603",
      "name": "Load local chinook.db",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        620,
        360
      ],
      "parameters": {
        "options": {},
        "fileSelector": "./chinook.db"
      },
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    {
      "id": "d7b3813d-8180-4ff1-87a4-bd54a03043af",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
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      "parameters": {
        "width": 834.3272727272731,
        "height": 372.9454545454546,
        "content": "## Run this part only once\nThis section:\n* downloads the example zip file from https://www.sqlitetutorial.net/sqlite-sample-database/\n* extracts the archive (it contains only a single file)\n* saves the extracted `chinook.db` SQLite database locally\n\nNow you can use chat to \"talk\" to your data!"
      },
      "typeVersion": 1
    },
    {
      "id": "6bd25563-2c59-44c2-acf9-407bd28a15cf",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
        240
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      "parameters": {
        "width": 558.5454545454544,
        "height": 297.89090909090913,
        "content": "## On every chat message:\n* the local SQLite database is loaded\n* JSON from Chat Trigger is combined with SQLite binary data"
      },
      "typeVersion": 1
    },
    {
      "id": "2be63956-236e-46f7-b8e4-0f55e2e25a5c",
      "name": "Combine chat input with the binary",
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      "position": [
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      ],
      "parameters": {
        "mode": "raw",
        "options": {
          "includeBinary": true
        },
        "jsonOutput": "={{ $('Chat Trigger').item.json }}\n"
      },
      "typeVersion": 3.3
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      "name": "Sticky Note2",
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      "position": [
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      "parameters": {
        "width": 471.99692219161466,
        "height": 511.16641410437836,
        "content": "### LangChain SQL Agent can make several queries before producing the final answer.\nTry these examples:\n1. \"Please describe the database\". This input usually requires just 1 query + an extra observation to produce a final answer.\n2. \"What are the revenues by genre?\". This input will launch a series of Agent actions, because it needs to make several queries.\n\nThe final answer is stored in the memory and will be recalled on the next input from the user."
      },
      "typeVersion": 1
    },
    {
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      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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        360
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      "parameters": {
        "agent": "sqlAgent",
        "options": {},
        "dataSource": "sqlite"
      },
      "typeVersion": 1.6
    },
    {
      "id": "5ecaa3eb-e93e-4e41-bbc0-98a8c2b2d463",
      "name": "Chat Trigger",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        420,
        360
      ],
      "webhookId": "fb565f08-a459-4ff9-8249-1ede58599660",
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
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  "connections": {
    "Chat Trigger": {
      "main": [
        [
          {
            "node": "Load local chinook.db",
            "type": "main",
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          }
        ]
      ]
    },
    "Extract zip file": {
      "main": [
        [
          {
            "node": "Save chinook.db locally",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Load local chinook.db": {
      "main": [
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          {
            "node": "Combine chat input with the binary",
            "type": "main",
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        ]
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    },
    "Get chinook.zip example": {
      "main": [
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          {
            "node": "Extract zip file",
            "type": "main",
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          }
        ]
      ]
    },
    "When clicking \"Test workflow\"": {
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        [
          {
            "node": "Get chinook.zip example",
            "type": "main",
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    "Combine chat input with the binary": {
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