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",
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                "contextWindowLength": 10
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        {
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            "name": "OpenAI Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
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            "parameters": {
                "model": "gpt-4-turbo",
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            "credentials": {
                "openAiApi": {
                    "id": "rveqdSfp7pCRON1T",
                    "name": "Ted's Tech Talks OpenAi"
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        {
            "id": "cc30066c-ad2c-4729-82c1-a6b0f4214dee",
            "name": "When clicking \"Test workflow\"",
            "type": "n8n-nodes-base.manualTrigger",
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            "parameters": [],
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        {
            "id": "0deacd0d-45cb-4738-8da0-9d1251858867",
            "name": "Get chinook.zip example",
            "type": "n8n-nodes-base.httpRequest",
            "position": [
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                "url": "https:\/\/www.sqlitetutorial.net\/wp-content\/uploads\/2018\/03\/chinook.zip",
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        {
            "id": "61f34708-f8ed-44a9-8522-6042d28511ae",
            "name": "Extract zip file",
            "type": "n8n-nodes-base.compression",
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            "parameters": [],
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        {
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            "name": "Save chinook.db locally",
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                "fileName": ".\/chinook.db",
                "operation": "write",
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            "name": "Load local chinook.db",
            "type": "n8n-nodes-base.readWriteFile",
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            "parameters": {
                "options": [],
                "fileSelector": ".\/chinook.db"
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                "width": 834.327272727273111740942113101482391357421875,
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                "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!"
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                "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
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        {
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            "name": "Combine chat input with the binary",
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                "mode": "raw",
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                "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."
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            "name": "AI Agent",
            "type": "@n8n\/n8n-nodes-langchain.agent",
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                "agent": "sqlAgent",
                "options": [],
                "dataSource": "sqlite"
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            "name": "Chat Trigger",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
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                        "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
                    }
                ]
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        },
        "Load local chinook.db": {
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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": {
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                    {
                        "node": "Extract zip file",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "When clicking \"Test workflow\"": {
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                    {
                        "node": "Get chinook.zip example",
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                        "node": "AI Agent",
                        "type": "main",
                        "index": 0
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}
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