{
  "nodes": [
    {
      "id": "d08a2559-17fd-4bdb-a976-795c3823a88a",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -520,
        240
      ],
      "parameters": {
        "content": "## Try me out\nClick the 'chat' button at the bottom of the canvas and paste in:\n\n_Which tables are available?_"
      },
      "typeVersion": 1
    },
    {
      "id": "3019b559-6100-4ead-8e1a-a7dece2a6982",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -380,
        -60
      ],
      "parameters": {
        "color": 7,
        "width": 677,
        "height": 505,
        "content": "This workflow uses a Postgres DB, but you could swap it for a MySQL or SQLite one"
      },
      "typeVersion": 1
    },
    {
      "id": "73786411-5383-4921-82ee-06b3b582bab7",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -320,
        40
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e65a1558-e0c0-4c4a-a306-90dc6dcb618a",
      "name": "Postgres",
      "type": "n8n-nodes-base.postgresTool",
      "position": [
        140,
        260
      ],
      "parameters": {
        "query": "{{ $fromAI('sql_statement') }}",
        "options": {},
        "operation": "executeQuery"
      },
      "typeVersion": 2.5
    },
    {
      "id": "9df537e7-3ca2-4e72-bc85-ae0d944fbdd1",
      "name": "Simple Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        0,
        260
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "57b2b959-9f25-475f-b6bb-842139725411",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -100,
        40
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.8
    },
    {
      "id": "f21ac2dc-56ff-4ea6-a29e-168e7dfaf3fa",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -160,
        260
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "0e6877c4-d0c1-535a-88e3-d08233a546ab",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -1320,
        -60
      ],
      "parameters": {
        "content": "# receive chat events and executequery postgres tool and agent\n\n## Purpose and structure\nThis folder contains the **receive chat events and executequery postgres tool and agent** workflow. Its executable nodes use `agent`, `chatTrigger`, `lmChatOpenAi`, `memoryBufferWindow`, `postgresTool`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen chat message received\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Postgrestool/0404_Postgrestool_Stickynote_Send_Triggered.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "Postgres": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false
}