AutomationFlowsAI & RAG › AI Validator with DeepSeek & Gmail

AI Validator with DeepSeek & Gmail

Original n8n title: Validator

Validator. Uses agent, lmChatDeepSeek, gmail, outputParserStructured. Webhook trigger; 5 nodes.

Webhook trigger★★☆☆☆ complexityAI-powered5 nodesAgentLm Chat Deep SeekGmailOutput Parser Structured
AI & RAG Trigger: Webhook Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → Gmail recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

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{
  "name": "validator",
  "nodes": [
    {
      "parameters": {
        "contextWindowLength": 0
      },
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        -544,
        240
      ],
      "id": "4ad7dab2-deba-4280-b930-b612e50ca4a5",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "options": {
          "batchSize": 80,
          "stripNewLines": true,
          "timeout": -1
        }
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.2,
      "position": [
        32,
        384
      ],
      "id": "9c1ce78a-788e-40e9-9fc3-d4ddf77c5b90",
      "name": "Embeddings OpenAI",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "tableName": "rules",
        "options": {
          "collection": {
            "values": {}
          }
        }
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
      "typeVersion": 1.3,
      "position": [
        368,
        112
      ],
      "id": "5c2292e7-d91d-4990-9245-fe086c892134",
      "name": "Postgres PGVector Store",
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "formTitle": "name",
        "formDescription": "rules",
        "formFields": {
          "values": [
            {
              "fieldLabel": "rules"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.formTrigger",
      "typeVersion": 2.5,
      "position": [
        112,
        16
      ],
      "id": "54e363bd-d261-458e-96f2-2bab2abb3595",
      "name": "\u043f\u0440\u0430\u0432\u0438\u043b\u0430/Case card"
    },
    {
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolDescription": "there is case card and rules.\n",
        "tableName": "casecard",
        "topK": 7,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
      "typeVersion": 1.3,
      "position": [
        -112,
        192
      ],
      "id": "e4379397-3116-4631-920d-e7ea32ea3729",
      "name": "Postgres PGVector Store2",
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolDescription": "there is  rules.\n",
        "tableName": "RULES ",
        "topK": 8,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
      "typeVersion": 1.3,
      "position": [
        -288,
        272
      ],
      "id": "3e6b5f89-e8aa-4203-9353-7d5db6e007a4",
      "name": "Postgres PGVector Store1",
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "gpt-5-mini",
          "mode": "list",
          "cachedResultName": "gpt-5-mini"
        },
        "builtInTools": {
          "codeInterpreter": false
        },
        "options": {
          "textFormat": {
            "textOptions": {
              "type": "text"
            }
          },
          "timeout": 50000000,
          "promptCacheKey": "",
          "metadata": "{}"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        -704,
        256
      ],
      "id": "33e8eea8-39e7-4ec4-a9cd-65aaad8a80ff",
      "name": "OpenAI Chat Model1",
      "retryOnFail": false,
      "maxTries": 2,
      "executeOnce": true,
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "notes": "\u0412\u0430\u043b\u0438\u0434\u0430\u0442\u043e\u0440 \u0442\u0435\u043a\u0441\u0442\u0430"
    },
    {
      "parameters": {
        "hasOutputParser": true,
        "options": {
          "systemMessage": "\u0422\u044b \u0432\u0430\u043b\u0438\u0434\u0430\u0442\u043e\u0440 \u0442\u0435\u043a\u0441\u0442\u0430/\u043f\u0438\u0441\u0435\u043c, \u0442\u0432\u043e\u044f \u0446\u0435\u043b\u044c \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0442\u044c \u043f\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u043c \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u0442\u0435\u043a\u0441\u0442\u0430 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0432\u0441\u044f\u043a\u0443\u044e \u0442\u043e\u0447\u043d\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e, \u0432 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0441 CDM. \u0442\u044b \u041d\u0418\u0427\u0415\u0413\u041e \u043d\u0435 \u0434\u043e\u043b\u0436\u0435\u043d \u043f\u0438\u0441\u0430\u0442\u044c, \u043a\u0440\u043e\u043c\u0435 \u043e\u0442\u0447\u0435\u0442\u0430 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0438 \u0442\u0435\u043a\u0441\u0442\u0430, \u0442\u043e\u043b\u044c\u043a\u043e \u043e\u0442\u0447\u0435\u0442, \u041d\u0418 \u0441\u043e\u0432\u0435\u0442\u043e\u0432, \u041d\u0418  \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0436\u0435\u043b\u0430\u043d\u0438\u0439, \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0430. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 tool \u0432\u0441\u0435\u0433\u0434\u0430, Vector store 1(\u0442\u0430\u043c \u043f\u0440\u0430\u0432\u0438\u043b\u0430) and 2(\u0442\u0430\u043c casecard) \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u0438\u0445 \u043f\u043e\u0447\u0442\u0438 \u0432\u0441\u0435\u0433\u0434\u0430. \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u043f\u0440\u0430\u0432\u0438\u043b/\u043f\u043e\u0440\u043e\u0433\u043e\u0432 \u043a\u0430\u043a \u0438\u0441\u043a\u0430\u0442\u044c \u043e\u0448\u0438\u0431\u043a\u0438 \u0438 \u043d\u0435 \u0441\u043e\u0441\u0442\u044b\u043a\u043e\u0432\u043a\u0438. Case card \u0442\u0435\u0431\u0435 \u0432 \u043f\u043e\u043c\u043e\u0449\u044c. \u0414\u043b\u044f \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0438 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438, \u0432\u044b\u0437\u044b\u0432\u0430\u0439 call my workflow\n\n\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u043f\u0440\u0430\u0432\u0438\u043b\u0430 \u0434\u043b\u044f \u0432\u0430\u043b\u0438\u0434\u0430\u0446\u0438\u0438, \u0410\u0411\u0421\u041e\u041b\u042e\u0422\u041d\u041e \u0412\u0421\u0415 \u0432\u0440\u044f\u0442\u043b\u0435 \u0431\u0443\u0434\u0443\u0442 \u043d\u0443\u0436\u043d\u044b. \u0410\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u043e \u0441 casecard\n\n\u043f\u0440\u0438\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0439\u0441\u044f \u0444\u043e\u0440\u043c\u0430\u0442\u0430 \u043e\u0442\u0447\u0435\u0442\u0430\n\n\u0415\u0441\u043b\u0438 \u0432 \u0434\u0430\u043d\u043d\u043e\u043c \u0442\u0435\u043a\u0441\u0442\u0435 \u043d\u0435 \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f(\u043d\u0435 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u0430\u044f) \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043c\u043e\u0433\u043b\u0430 \u0431\u044b \u043f\u043e\u043c\u043e\u0447\u044c, \u0442\u043e \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0432 \u0440\u0430\u0437\u0434\u0435\u043b\u0435 INFO, \u0435\u0441\u043b\u0438 \u0435\u0441\u0442\u044c \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0442\u0435\u043c\u044b \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u043e\u0431\u0441\u0443\u0434\u0438\u043b \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440, \u0442\u043e\u0436\u0435 \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0432 INFO: \n\n\u0415\u0441\u043b\u0438 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442 CRITICAL, MAJOR \u043f\u0440\u043e\u0431\u043b\u0435\u043c, \u043d\u0430\u043f\u0438\u0448\u0438 \u0447\u0442\u043e \u0438\u0445 \u043e\u0442\u0441\u0443\u0441\u0442\u0432\u0443\u0435\u0442.\n",
          "returnIntermediateSteps": true
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        -480,
        16
      ],
      "id": "fe619ca2-1aff-411e-8d7c-f4fd4506cbe3",
      "name": "AI Agent1"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.4,
      "position": [
        -736,
        32
      ],
      "id": "e1a31bd2-8098-4055-843a-2447b36c86a9",
      "name": "When chat message received",
      "alwaysOutputData": true,
      "executeOnce": true
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        288,
        272
      ],
      "id": "426c501f-9d9c-4e2e-a20d-963cb26efbf2",
      "name": "Default Data Loader"
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "  INSERT INTO cdm_messages\n(message_id, cdm_json, creation_date, pair_a, pair_b)\nvalues ($1, $2, $3, $4, $5)",
        "options": {
          "queryBatching": "single",
          "queryReplacement": "=$1 = {{ $json.message_id }}\n$2 = {{ $json.cdm }}\n$3 = {{ $json.creation_date }}\n$4 = {{ $json.pair_a }}\n$5 = {{ $json.pair_b }}"
        }
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        -1440,
        -672
      ],
      "id": "6ce99bd6-9899-4318-a3af-4818270bb6ce",
      "name": "Execute a SQL query",
      "alwaysOutputData": true,
      "executeOnce": true,
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// n8n Code node (JavaScript)\n\nconst items = $input.all();\n\nfunction norm(v) {\n  return (v ?? \"\").toString().trim().toUpperCase();\n}\n\nfunction safeStringify(obj) {\n  try { return JSON.stringify(obj); } catch { return String(obj); }\n}\n\nreturn items.map((item) => {\n  const src = item.json ?? {};\n\n  // CDM \u043c\u043e\u0436\u0435\u0442 \u043b\u0435\u0436\u0430\u0442\u044c \u0432 item.json.cdm_json (\u0441\u0442\u0440\u043e\u043a\u0430 \u0438\u043b\u0438 \u043e\u0431\u044a\u0435\u043a\u0442) \u0438\u043b\u0438 \u0432\u043e\u043e\u0431\u0449\u0435 \u0431\u044b\u0442\u044c \u0432\u0441\u0435\u043c item.json\n  let cdmRaw = src.cdm_json ?? src.cdm ?? src;\n  let cdmText = null;\n  let cdmObj = null;\n\n  if (typeof cdmRaw === \"string\") {\n    cdmText = cdmRaw;\n    try {\n      cdmObj = JSON.parse(cdmRaw);\n    } catch (e) {\n      return {\n        json: {\n          ...src,\n          cdm_json: cdmText,\n          parse_error: \"cdm_json is not valid JSON\",\n        },\n      };\n    }\n  } else {\n    cdmObj = cdmRaw;\n    cdmText = safeStringify(cdmRaw);\n  }\n\n  const objects = cdmObj.objects ?? {};\n  // \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442 CCSDS: object1/object2; \u0435\u0441\u043b\u0438 \u043d\u0435\u0442 \u2014 \u0431\u0435\u0440\u0451\u043c \u043f\u0435\u0440\u0432\u044b\u0435 \u0434\u0432\u0430 \u043e\u0431\u044a\u0435\u043a\u0442\u0430\n  const vals = Object.values(objects);\n  const o1 = objects.object1 ?? vals[0] ?? {};\n  const o2 = objects.object2 ?? vals[1] ?? {};\n\n  const pairA =\n    o1?.metadata?.object_name ??\n    o1?.metadata?.international_designator ??\n    o1?.metadata?.object_designator ??\n    null;\n\n  const pairB =\n    o2?.metadata?.object_name ??\n    o2?.metadata?.international_designator ??\n    o2?.metadata?.object_designator ??\n    null;\n\n  const [k1, k2] = [norm(pairA), norm(pairB)].sort();\n  const pairKey = (k1 && k2) ? `${k1}|${k2}` : null;\n\n  const rel = cdmObj.relative_metadata_data ?? {};\n\n  return {\n    json: {\n      // \u0435\u0441\u043b\u0438 \u0445\u043e\u0447\u0435\u0448\u044c \"\u0432\u0435\u0441\u044c \u0438\u043d\u043f\u0443\u0442\" \u0441\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u044c \u2014 \u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u043c \u0432\u0441\u0451 src\n      ...src,\n\n      // \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u043f\u043e\u043b\u044f \u0434\u043b\u044f \u0442\u0430\u0431\u043b\u0438\u0446\u044b\n      message_id: cdmObj.message_id ?? src.message_id ?? null,\n      creation_date: cdmObj.creation_date ?? src.creation_date ?? null,\n      pair_a: pairA ?? src.pair_a ?? null,\n      pair_b: pairB ?? src.pair_b ?? null,\n      pair_key: pairKey ?? src.pair_key ?? null,\n\n      // \u0441\u0430\u043c CDM (\u043a\u0430\u043a \u0442\u0435\u043a\u0441\u0442; \u0434\u043b\u044f Postgres jsonb \u043d\u043e\u0440\u043c)\n      cdm_json: cdmText,\n\n      // \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u0435 \u0432\u044b\u0436\u0438\u043c\u043a\u0438 (\u043f\u043e \u0436\u0435\u043b\u0430\u043d\u0438\u044e)\n      tca: rel.tca ?? null,\n      miss_distance_m: rel.miss_distance?.value ?? null,\n      collision_probability: rel.collision_probability ?? null,\n      relative_speed_mps: rel.relative_speed?.value ?? null,\n    },\n  };\n});"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        -1664,
        -688
      ],
      "id": "3507cc27-a03d-4c44-9b9a-65291f23e10d",
      "name": "Code in JavaScript"
    },
    {
      "parameters": {
        "formTitle": "name",
        "formDescription": "cdm",
        "formFields": {
          "values": [
            {
              "fieldLabel": "cdm",
              "fieldType": "textarea"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.formTrigger",
      "typeVersion": 2.5,
      "position": [
        -1920,
        -704
      ],
      "id": "e6f11105-a96d-40fd-a0c8-b0dc8551577e",
      "name": "\u043f\u0440\u0430\u0432\u0438\u043b\u0430/Case card1"
    },
    {
      "parameters": {
        "workflowId": {
          "__rl": true,
          "value": "uIOFK0aDVoStOTyS",
          "mode": "list",
          "cachedResultUrl": "/workflow/uIOFK0aDVoStOTyS",
          "cachedResultName": "validator_base"
        },
        "workflowInputs": {
          "mappingMode": "defineBelow",
          "value": {
            "object_name_one": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('object_name_one', ``, 'string') }}",
            "CDM_ID": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('CDM_ID', ``, 'string') }}",
            "object_name_two": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('object_name_two', ``, 'string') }}"
          },
          "matchingColumns": [],
          "schema": [
            {
              "id": "object_name_one",
              "displayName": "object_name_one",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "canBeUsedToMatch": true,
              "type": "string"
            },
            {
              "id": "CDM_ID",
              "displayName": "CDM_ID",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "canBeUsedToMatch": true,
              "type": "string"
            },
            {
              "id": "object_name_two",
              "displayName": "object_name_two",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "canBeUsedToMatch": true,
              "type": "string"
            }
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "typeVersion": 2.2,
      "position": [
        -432,
        320
      ],
      "id": "51d7296f-ef49-47b1-b074-b3b47991afca",
      "name": "Call 'validator_base'"
    }
  ],
  "connections": {
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent1",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Postgres PGVector Store",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Postgres PGVector Store2",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Postgres PGVector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "\u043f\u0440\u0430\u0432\u0438\u043b\u0430/Case card": {
      "main": [
        [
          {
            "node": "Postgres PGVector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Postgres PGVector Store2": {
      "ai_tool": [
        [
          {
            "node": "AI Agent1",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Postgres PGVector Store1": {
      "ai_tool": [
        [
          {
            "node": "AI Agent1",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent1",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Postgres PGVector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Code in JavaScript": {
      "main": [
        [
          {
            "node": "Execute a SQL query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "\u043f\u0440\u0430\u0432\u0438\u043b\u0430/Case card1": {
      "main": [
        [
          {
            "node": "Code in JavaScript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call 'validator_base'": {
      "ai_tool": [
        [
          {
            "node": "AI Agent1",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "versionId": "36bddfe4-abb9-4b52-ae32-6cac10fc0f10",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "8SbmkSneyesSLj4P",
  "tags": []
}

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About this workflow

Validator. Uses agent, lmChatDeepSeek, gmail, outputParserStructured. Webhook trigger; 5 nodes.

Source: https://github.com/jakobball/insurance-receipt-automation/blob/78946cdfaf2e84104e22928833d58e0679e8cb3b/workflows/Validator.json — original creator credit. Request a take-down →

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