Workflow: Compression Manual Automation

Workflow Details

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    "meta": {
        "instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
        "templateCredsSetupCompleted": true
    },
    "name": "SQL agent with memory",
    "tags": [],
    "nodes": [
        {
            "id": "3544950e-4d8e-46ca-8f56-61c152a5cae3",
            "name": "Window Buffer Memory",
            "type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
            "position": [
                1220,
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            ],
            "parameters": {
                "contextWindowLength": 10
            },
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        {
            "id": "743cc4e7-5f24-4adc-b872-7241ee775bd0",
            "name": "OpenAI Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
            "position": [
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            ],
            "parameters": {
                "model": "gpt-4-turbo",
                "options": {
                    "temperature": 0.299999999999999988897769753748434595763683319091796875
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            },
            "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",
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            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "0deacd0d-45cb-4738-8da0-9d1251858867",
            "name": "Get chinook.zip example",
            "type": "n8n-nodes-base.httpRequest",
            "position": [
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            ],
            "parameters": {
                "url": "https:\/\/www.sqlitetutorial.net\/wp-content\/uploads\/2018\/03\/chinook.zip",
                "options": []
            },
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        {
            "id": "61f34708-f8ed-44a9-8522-6042d28511ae",
            "name": "Extract zip file",
            "type": "n8n-nodes-base.compression",
            "position": [
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            ],
            "parameters": [],
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        {
            "id": "6a12d9ac-f1b7-4267-8b34-58cdb9d347bb",
            "name": "Save chinook.db locally",
            "type": "n8n-nodes-base.readWriteFile",
            "position": [
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            ],
            "parameters": {
                "options": [],
                "fileName": ".\/chinook.db",
                "operation": "write",
                "dataPropertyName": "file_0"
            },
            "typeVersion": 1
        },
        {
            "id": "701d1325-4186-4185-886a-3738163db603",
            "name": "Load local chinook.db",
            "type": "n8n-nodes-base.readWriteFile",
            "position": [
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                360
            ],
            "parameters": {
                "options": [],
                "fileSelector": ".\/chinook.db"
            },
            "typeVersion": 1
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            "id": "d7b3813d-8180-4ff1-87a4-bd54a03043af",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
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                "width": 834.327272727273111740942113101482391357421875,
                "height": 372.9454545454545950633473694324493408203125,
                "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
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        {
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            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
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                "height": 297.89090909090913328327587805688381195068359375,
                "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",
            "type": "n8n-nodes-base.set",
            "position": [
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                360
            ],
            "parameters": {
                "mode": "raw",
                "options": {
                    "includeBinary": true
                },
                "jsonOutput": "={{ $('Chat Trigger').item.json }}\n"
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            "name": "Sticky Note2",
            "type": "n8n-nodes-base.stickyNote",
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            "parameters": {
                "width": 471.996922191614658004255034029483795166015625,
                "height": 511.16641410437836157143465243279933929443359375,
                "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
        },
        {
            "id": "ac819eb5-13b2-4280-b9d6-06ec1209700e",
            "name": "AI Agent",
            "type": "@n8n\/n8n-nodes-langchain.agent",
            "position": [
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                360
            ],
            "parameters": {
                "agent": "sqlAgent",
                "options": [],
                "dataSource": "sqlite"
            },
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        {
            "id": "5ecaa3eb-e93e-4e41-bbc0-98a8c2b2d463",
            "name": "Chat Trigger",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
            "position": [
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            ],
            "webhookId": "fb565f08-a459-4ff9-8249-1ede58599660",
            "parameters": [],
            "typeVersion": 1
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    "active": false,
    "pinData": [],
    "settings": {
        "executionOrder": "v1"
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    "versionId": "fbc06ddd-dbd8-49ee-bbee-2f495d5651a2",
    "connections": {
        "Chat Trigger": {
            "main": [
                [
                    {
                        "node": "Load local chinook.db",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "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": [
                [
                    {
                        "node": "Combine chat input with the binary",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Get chinook.zip example": {
            "main": [
                [
                    {
                        "node": "Extract zip file",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "When clicking \"Test workflow\"": {
            "main": [
                [
                    {
                        "node": "Get chinook.zip example",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
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        "Combine chat input with the binary": {
            "main": [
                [
                    {
                        "node": "AI Agent",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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