{
  "id": "AC4paL1SXMFURgmc",
  "meta": {
    "instanceId": "workflow-df722e0b",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:51.394267",
    "updatedAt": "2025-09-29T07:07:51.394281",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Translate questions about e-mails into SQL queries and run them",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "dd63600a-6bee-43cd-a1d2-87aae2089ed4",
      "name": "Add table name to output",
      "type": "n8n-nodes-base.set",
      "position": [
        840,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "764176d6-3c89-404d-9c71-301e8a406a68",
              "name": "table",
              "type": "string",
              "value": "={{ $('List all tables in a database').item.json.table_name ?? 'emails_metadata'}}"
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "1bf02b6d-e8e4-4b1b-8ee2-c91a8c390a21",
      "name": "Convert data to binary",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1040,
        160
      ],
      "parameters": {
        "options": {},
        "operation": "toJson"
      },
      "typeVersion": 1.1,
      "notes": "This convertToFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "cf930fa2-03bd-46fa-af4d-df282262f965",
      "name": "Save file locally",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        1220,
        160
      ],
      "parameters": {
        "options": {},
        "fileName": "=/files/pgsql-{{ $workflow.id }}.json",
        "operation": "write"
      },
      "typeVersion": 1,
      "notes": "This readWriteFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "48bc8812-7e1b-4d08-8610-884e00069f3c",
      "name": "Extract data from file",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        920,
        620
      ],
      "parameters": {
        "options": {},
        "operation": "fromJson"
      },
      "typeVersion": 1,
      "notes": "This extractFromFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "0d6a0a55-a7cb-4471-ba80-a336324d2939",
      "name": "Chat Trigger",
      "type": "n8n-nodes-base.noOp",
      "position": [
        260,
        520
      ],
      "webhookId": "c308dec7-655c-4b79-832e-991bd8ea891f",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "8f39276c-4ce7-4b27-b022-231607a9cfb3",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        160,
        -60
      ],
      "parameters": {
        "color": 3,
        "width": 1505,
        "height": 486,
        "content": "## This can run manually\nThis section:\n* loads a list of all tables from the database\n* extracts the database schema for each table and adds the table name\n* converts the schema into a binary JSON format\n* saves the schema  file locally"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "4fb5174f-a3ed-413f-98f7-41b0b46b62ae",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        260,
        160
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "cf6e9426-18ca-4d6e-bff2-d517ae7b4c1e",
      "name": "Combine schema data and chat input",
      "type": "n8n-nodes-base.set",
      "position": [
        1140,
        620
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "42abd24e-419a-47d6-bc8b-7146dd0b8314",
              "name": "sessionId",
              "type": "string",
              "value": "={{ $('Chat Trigger').isExecuted && $('Chat Trigger').first().json.sessionId }}"
            },
            {
              "id": "39244192-a1a6-42fe-bc75-a6fba1f264df",
              "name": "action",
              "type": "string",
              "value": "={{ $('Chat Trigger').isExecuted && $('Chat Trigger').first().json.action }}"
            },
            {
              "id": "f78c57d9-df13-43c7-89a7-5387e528107e",
              "name": "chatinput",
              "type": "string",
              "value": "={{ $('WorkflowTrigger').isExecuted ? $('WorkflowTrigger').first().json.natural_language_query: $('Chat Trigger').first().json.chatInput }}"
            },
            {
              "id": "e42b39eb-dfbd-48d9-94ed-d658bdd41454",
              "name": "schema",
              "type": "string",
              "value": "={{ $json.data }}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "6a960e03-ea13-4090-8ef8-9b294963fa63",
      "name": "Load the schema from the local file",
      "type": "n8n-nodes-base.readWriteFile",
      "onError": "continueRegularOutput",
      "maxTries": 2,
      "position": [
        480,
        620
      ],
      "parameters": {
        "options": {},
        "fileSelector": "=/files/pgsql-{{ $workflow.id }}.json"
      },
      "retryOnFail": false,
      "typeVersion": 1,
      "alwaysOutputData": true,
      "notes": "This readWriteFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "0bad6e46-e8ed-4ba6-a7d9-2d69fd11227b",
      "name": "Extract SQL query",
      "type": "n8n-nodes-base.set",
      "position": [
        1740,
        620
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "ebbe194a-4b8b-44c9-ac19-03cf69d353bf",
              "name": "query",
              "type": "string",
              "value": "={{ ($json.output.match(/SELECT[^;]*/i) || [])[0] || \"\" }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "2aa91c40-8648-4fba-899d-5599866122e3",
      "name": "Check if query exists",
      "type": "n8n-nodes-base.if",
      "position": [
        2400,
        620
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "2963d04d-9d79-49f9-b52a-dc8732aca781",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.query }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2,
      "notes": "This if node performs automated tasks as part of the workflow."
    },
    {
      "id": "24b59747-7f9b-473c-9d31-660e17867986",
      "name": "Format query results",
      "type": "n8n-nodes-base.set",
      "position": [
        2840,
        460
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f944d21f-6aac-4842-8926-4108d6cad4bf",
              "name": "sqloutput",
              "type": "string",
              "value": "={{ Object.keys($jmespath($input.all(),'[].json')[0]).join(' | ') }} \n{{ ($jmespath($input.all(),'[].json')).map(obj => Object.values(obj).join(' | ')).join('\\n') }}"
            }
          ]
        }
      },
      "executeOnce": true,
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "a25acba2-74c5-4af6-a1e4-46cfd1364b44",
      "name": "Combine query result and chat answer",
      "type": "n8n-nodes-base.merge",
      "position": [
        3060,
        540
      ],
      "parameters": {
        "mode": "combine",
        "options": {
          "includeUnpaired": true
        },
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "a1cde4a1-7b47-4aa2-bd2c-a7090bfb0bb2",
      "name": "List all columns in a table",
      "type": "n8n-nodes-base.postgres",
      "position": [
        640,
        160
      ],
      "parameters": {
        "query": "SELECT\n  column_name, \n  udt_name as data_type, \n  CASE WHEN data_type = 'ARRAY' THEN TRUE ELSE FALSE END AS is_array,\n  is_nullable \nFROM INFORMATION_SCHEMA.COLUMNS where table_name = '{{ $json.table_name }}'",
        "options": {},
        "operation": "executeQuery"
      },
      "credentials": {},
      "typeVersion": 2.6,
      "notes": "This postgres node performs automated tasks as part of the workflow."
    },
    {
      "id": "cf167b64-007d-469a-bb3e-1144fe435a17",
      "name": "List all tables in a database",
      "type": "n8n-nodes-base.postgres",
      "position": [
        460,
        160
      ],
      "parameters": {
        "query": "SELECT table_name FROM INFORMATION_SCHEMA.TABLES WHERE table_schema='public'",
        "options": {},
        "operation": "executeQuery"
      },
      "credentials": {},
      "typeVersion": 2.6,
      "notes": "This postgres node performs automated tasks as part of the workflow."
    },
    {
      "id": "6f6fd892-d779-41d4-ac19-1d5630674f67",
      "name": "Ollama Chat Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1440,
        840
      ],
      "parameters": {
        "model": "phi4-mini:latest",
        "options": {}
      },
      "credentials": {},
      "typeVersion": 1,
      "notes": "This lmChatOllama node performs automated tasks as part of the workflow."
    },
    {
      "id": "6cb76f04-3183-4bce-aa15-0724205d0ab3",
      "name": "Postgres",
      "type": "n8n-nodes-base.postgres",
      "onError": "continueRegularOutput",
      "position": [
        2620,
        460
      ],
      "parameters": {
        "query": "{{ $json.query }}",
        "options": {},
        "operation": "executeQuery"
      },
      "credentials": {},
      "typeVersion": 2.6,
      "alwaysOutputData": true,
      "notes": "This postgres node performs automated tasks as part of the workflow."
    },
    {
      "id": "9c2a4d74-c2e6-4fac-a00d-2a84a5150027",
      "name": "Add trailing semicolon",
      "type": "n8n-nodes-base.set",
      "position": [
        2180,
        540
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "15622b82-a226-4f54-9c0e-3f30b2c0cf4b",
              "name": "query",
              "type": "string",
              "value": "={{ $json.query }};"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "7725f9c3-9c5d-41d6-b4d1-fc444122ae2f",
      "name": "Check for trailing semicolon",
      "type": "n8n-nodes-base.if",
      "position": [
        1960,
        620
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "94bd2686-21e7-44aa-b6a8-be5a17bd0242",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.query }}",
              "rightValue": ""
            },
            {
              "id": "f22c8914-62f3-4f15-be6f-dd23de5a099a",
              "operator": {
                "type": "string",
                "operation": "notEndsWith"
              },
              "leftValue": "={{ $json.query }}",
              "rightValue": ";"
            }
          ]
        }
      },
      "typeVersion": 2.2,
      "notes": "This if node performs automated tasks as part of the workflow."
    },
    {
      "id": "c7dd1e14-a8f6-4222-a12a-802928b10f56",
      "name": "WorkflowTrigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        260,
        720
      ],
      "parameters": {
        "workflowInputs": {
          "values": [
            {
              "name": "natural_language_query"
            }
          ]
        }
      },
      "typeVersion": 1.1,
      "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "f658fbba-54e3-40f5-9217-a0c8730b1ff4",
      "name": "If ran manually",
      "type": "n8n-nodes-base.if",
      "position": [
        1420,
        160
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "c761a475-43ac-483b-827c-0eb69dfebc9a",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $('When clicking \"Test workflow\"').isExecuted }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2,
      "notes": "This if node performs automated tasks as part of the workflow."
    },
    {
      "id": "67810482-afb7-47b0-ba0d-8b79a140e890",
      "name": "If file exists or already retried generating it",
      "type": "n8n-nodes-base.if",
      "position": [
        700,
        620
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "28000886-13f4-4628-b1c0-afaaf596ec56",
              "operator": {
                "type": "object",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $input.item.binary }}",
              "rightValue": ""
            },
            {
              "id": "ddcd8702-8774-4075-a2d0-6d99cf0cb2c2",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $('If ran manually').isExecuted }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2,
      "notes": "This if node performs automated tasks as part of the workflow."
    },
    {
      "id": "38121ff4-b0d2-4274-92bf-be346b71c1e9",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        160,
        440
      ],
      "parameters": {
        "width": 720,
        "height": 540,
        "content": "## This is triggered by chat or as a sub-workflow\nNatural language requests can be asked, and a SQL query as well as its results will be returned."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "05dce292-4d93-4b0d-87e1-09e8b1dab70a",
      "name": "AI Agent",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1360,
        620
      ],
      "parameters": {
        "text": "=You have access to a database containing all my personal email and documents.\n\nToday's date is {{ $now.toLocaleString() }}\n\nThe database schema is:\n```\n{{ $json.schema }}\n```\n\nGenerate a SQL query that will:\n```\n{{ $json.chatinput }}\n```\n\nIMPORTANT: \n1. ONLY use column names that exist in the schema above\n2. NEVER invent columns or assume JSON fields that aren't listed\n3. The only metadata fields are emails_metadata.id and emails_metadata.thread_id\n4. Use operators appropriate for each data type:\n   - Text fields → ILIKE '%term%'\n   - Date fields → Date comparisons (>,<,BETWEEN)\n   - Array fields → @>, ANY(), IS NOT NULL\n5. Output ONLY the raw SQL statement ending with a semicolon\n6. The database cannot contain emails from the future",
        "options": {
          "systemMessage": "=You are an expert SQL query generator that creates precise PostgreSQL queries based on natural language requests. You must strictly adhere to the provided database schema and NEVER invent columns that don't exist.\n\nCRITICAL SCHEMA ADHERENCE RULES:\n\n1. ONLY use columns explicitly listed in the schema\n2. The metadata fields are strictly limited to:\n   - emails_metadata.id\n   - emails_metadata.thread_id\n3. NEVER invent fields like \"priority\", \"category\", or any metadata attributes not in the schema\n4. NEVER use JSON operators (->>, @>) unless the schema shows JSONB columns\n\nDATA TYPE HANDLING:\n\n1. TEXT/VARCHAR FIELDS:\n   - Use ILIKE '%term%' for case-insensitive pattern matching\n   - Example: WHERE email_subject ILIKE '%meeting%'\n\n2. TIMESTAMP/DATE FIELDS:\n   - NEVER use LIKE/ILIKE on date fields\n   - \"yesterday\" → date > CURRENT_DATE - INTERVAL '1 day' AND date < CURRENT_DATE\n   - \"last week\" → date > CURRENT_DATE - INTERVAL '7 days'\n   - Example: WHERE date > CURRENT_DATE - INTERVAL '3 days'\n\n3. ARRAY FIELDS:\n   - Use @> for checking if array contains elements\n   - Example: WHERE attachments IS NOT NULL\n\n4. BOOLEAN LOGIC:\n   - Always use parentheses to clarify operator precedence\n   - Example: WHERE (email_subject ILIKE '%report%' OR email_text ILIKE '%report%') AND date > '2023-01-01'\n\nQUERY CONSTRUCTION GUIDELINES:\n- Start with \"SELECT * FROM\" unless specific fields are requested\n- Use ORDER BY date DESC for recency when appropriate\n- Apply LIMIT only when specifically requested or implied by quantity terms\n- End all statements with semicolons\n- Output only the raw SQL without explanations or code blocks\n- Mind the difference between emails _about_ future dates references, and emails _received_ in specific date references. The database cannot contain emails from the future.\n\nEXAMPLE QUERIES:\n1. \"recent emails about projects from Sarah with attachments\"\n   SELECT * FROM emails_metadata \n   WHERE (email_subject ILIKE '%project%' OR email_text ILIKE '%project%')\n   AND email_from ILIKE '%sarah%' \n   AND attachments IS NOT NULL\n   ORDER BY date DESC;\n\n2. \"emails received yesterday\"\n   SELECT * FROM emails_metadata \n   WHERE date > CURRENT_DATE - INTERVAL '1 day' AND date < CURRENT_DATE;\n\n3. \"one email about budget\"\n   SELECT * FROM emails_metadata \n   WHERE (email_subject ILIKE '%budget%' OR email_text ILIKE '%budget%')\n   LIMIT 1;\n\n4. \"Find emails about interviews scheduled from April 28 to May 4\"\n   SELECT * FROM emails_metadata\n   WHERE (email_subject ILIKE '%interview%' OR email_text ILIKE '%interview%');\n\n5. \"Find emails from April about interviews\"\n   SELECT * FROM emails_metadata \n   WHERE (email_subject ILIKE '%interview%' OR email_text ILIKE '%interview%') AND date BETWEEN '2025-04-01' AND '2025-04-30';\n\n6. \"emails in thread 123\"\n   SELECT * FROM emails_metadata \n   WHERE thread_id = '123';\n\n7. \"what's my latest email?\"\n   SELECT * FROM emails_metadata\n   ORDER BY date DESC LIMIT 1;\n"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8,
      "notes": "This agent node performs automated tasks as part of the workflow."
    },
    {
      "id": "6961fed9-4dcf-4a7f-97eb-bbf9e66dff3e",
      "name": "Format empty output",
      "type": "n8n-nodes-base.set",
      "position": [
        2620,
        760
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "aa55e186-1535-4923-aee4-e088ca69575b",
              "name": "query",
              "type": "string",
              "value": "={{ $json.query ?? '' }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "8138aed4-e38d-4c3c-9850-a200bd4d762e",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1320,
        440
      ],
      "parameters": {
        "width": 340,
        "height": 540,
        "content": "## Quite the prompt 😅\nSome refined prompt engineering work here.\n\nIt may or may not been done aided by Kagi's Assistant and Claude 3.7 Sonnet 👀"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "error-e2591e82",
      "name": "Error Handler",
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1000,
        400
      ],
      "parameters": {
        "message": "Workflow execution error",
        "options": {}
      }
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "versionId": "c4e0962f-2c7f-4d14-af37-df491db2ebd0",
  "connections": {
    "1bf02b6d-e8e4-4b1b-8ee2-c91a8c390a21": {
      "main": [
        [
          {
            "node": "error-handler-1bf02b6d-e8e4-4b1b-8ee2-c91a8c390a21-a8e8ceaa",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cf930fa2-03bd-46fa-af4d-df282262f965": {
      "main": [
        [
          {
            "node": "error-handler-cf930fa2-03bd-46fa-af4d-df282262f965-6b8056e7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "48bc8812-7e1b-4d08-8610-884e00069f3c": {
      "main": [
        [
          {
            "node": "error-handler-48bc8812-7e1b-4d08-8610-884e00069f3c-8e009abb",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6a960e03-ea13-4090-8ef8-9b294963fa63": {
      "main": [
        [
          {
            "node": "error-handler-6a960e03-ea13-4090-8ef8-9b294963fa63-b036e721",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "description": "Automated workflow: Translate questions about e-mails into SQL queries and run them. This workflow integrates 14 different services: convertToFile, stickyNote, agent, readWriteFile, merge. It contains 30 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: Translate questions about e-mails into SQL queries and run them. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}