AI Data Recovery Workflow with MongoDB

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 →

{
  "name": "Data Recovery",
  "nodes": [
    {
      "parameters": {
        "workflowInputs": {
          "values": [
            {
              "name": "_id"
            }
          ]
        }
      },
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "typeVersion": 1.1,
      "position": [
        -160,
        -100
      ],
      "id": "fe6eabb3-6ba1-4c42-a09e-236f17adca2f",
      "name": "When Executed by Another Workflow"
    },
    {
      "parameters": {
        "attributes": {
          "attributes": [
            {
              "name": "_id",
              "description": "This is mongoDB item id used for the extraction of it",
              "required": true
            }
          ]
        },
        "options": {
          "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "typeVersion": 1,
      "position": [
        -20,
        -100
      ],
      "id": "78c58c8f-e7df-4349-ba32-ef13393ff3a7",
      "name": "Information Extractor"
    },
    {
      "parameters": {
        "modelName": "models/gemini-2.0-flash",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "typeVersion": 1,
      "position": [
        -20,
        80
      ],
      "id": "83e6d445-1a8e-4777-8f02-7c83460d8b60",
      "name": "Google Gemini Chat Model",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "0e07d90a-a8d3-4825-9f1e-29b340016d29",
              "name": "url",
              "value": "$in",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        560,
        -100
      ],
      "id": "0b554af7-a934-4c82-9d25-24b77575a21d",
      "name": "Edit Fields"
    },
    {
      "parameters": {
        "collection": "main",
        "options": {},
        "query": "{\n  \"_id\": { \"$in\": \"{{$node['Function Node'].json.datasetIds}}\" }\n}"
      },
      "type": "n8n-nodes-base.mongoDb",
      "typeVersion": 1.1,
      "position": [
        280,
        -100
      ],
      "id": "0b6b1525-e8af-44ad-8af8-93ee9705b309",
      "name": "MongoDB",
      "credentials": {
        "mongoDb": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "const datasets = $input.all()[0].json;\n\nconst downloadUrls = datasets.map(dataset => ({\n  title: dataset.metadata.title,\n  url: dataset.download_info.download_url\n}));\n\nreturn { downloadUrls };"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        420,
        -100
      ],
      "id": "82d9bc68-eb4c-4c66-bf01-9ca2db8d018b",
      "name": "Code"
    }
  ],
  "connections": {
    "When Executed by Another Workflow": {
      "main": [
        [
          {
            "node": "Information Extractor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Information Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Information Extractor": {
      "main": [
        [
          {
            "node": "MongoDB",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "MongoDB": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code": {
      "main": [
        [
          {
            "node": "Edit Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d8ad15a3-494f-4e9f-ac64-da251eb63298",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "CmR0093cp9SvNc1V",
  "tags": []
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googlePalmApi
• mongoDb

About this workflow

Data Recovery. Uses executeWorkflowTrigger, informationExtractor, lmChatGoogleGemini, mongoDb. Event-driven trigger; 6 nodes.

Source: https://github.com/neloduka-sobe/ElevenLabs-Hackathon/blob/017ce37fc9b688ab318cef3185298d5c16913bf0/n8n/Data_Recovery.json — original creator credit. Request a take-down →

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