workflows/Compression/1683_Compression_Manual_Automation_Webhook.json

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  "name": "SQL agent with memory",
  "tags": [],
  "nodes": [
    {
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      "name": "Window Buffer Memory",
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      "parameters": {
        "model": "gpt-4-turbo",
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          "temperature": 0.3
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      },
      "credentials": {
        "openAiApi": {
          "id": "rveqdSfp7pCRON1T",
          "name": "Ted's Tech Talks OpenAi"
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    {
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    {
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      "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",
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      "typeVersion": 4.2
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    {
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      "name": "Load local chinook.db",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
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        "fileSelector": "./chinook.db"
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      "parameters": {
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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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      "name": "Sticky Note1",
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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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        "jsonOutput": "={{ $('Chat Trigger').item.json }}\n"
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      "parameters": {
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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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        "agent": "sqlAgent",
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        "dataSource": "sqlite"
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      "position": [
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      ],
      "webhookId": "fb565f08-a459-4ff9-8249-1ede58599660",
      "parameters": {},
      "typeVersion": 1
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    "Chat Trigger": {
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    "Window Buffer Memory": {
      "ai_memory": [
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    "Load local chinook.db": {
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    "When clicking \"Test workflow\"": {
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