{
  "workflow": {
    "id": 2416,
    "name": "Cv resume PDF parsing with multimodal vision AI",
    "views": 18637,
    "recentViews": 1,
    "totalViews": 18637,
    "createdAt": "2024-09-16T16:41:27.514Z",
    "description": "This n8n workflow demonstrates how we can use Multimodal LLMs to parse and extract from PDF documents in n8n.\n\nIn this particular scenario, we're passing a candidate's CV/resume to an AI which filters out unqualified applications. However, this sneaky candidate has added in hidden prompt to bypass our bot! Whatever will we do? No fret, using AI Vision is one approach to solve this problem... read on!\n\n## How it works\n\n* Our candidate's CV/Resume is a PDF downloaded via Google Drive for this demonstration.\n* The PDF is then converted into an image PNG using a tool called [Stirling PDF](https://stirlingpdf.io). Since the hidden prompt has a white font color, it is is invisible in the converted image.\n* The image is then forwarded to a Basic LLM node to process using our multimodal model - in this example, we'll use Google's Gemini 1.5 Pro.\n* In the Basic LLM node, we'll need to set a User Message with the type of Binary. This allows us to directly send the image file in our request.\n* The LLM is now immune to the hidden prompt and its response is has expected.\n\nThe example CV/Resume with hidden prompt can be found here: [https://drive.google.com/file/d/1MORAdeev6cMcTJBV2EYALAwll8gCDRav/view?usp=sharing](https://drive.google.com/file/d/1MORAdeev6cMcTJBV2EYALAwll8gCDRav/view?usp=sharing)\n\n## Requirements\n\n* Google Gemini API Key. Alternatively, GPT4 will also work for this use-case.\n* Stirling PDF or another service which can convert PDFs into images. Note for data privacy, this example uses a public API and it is recommended that you self-host and use a private instance of Stirling PDF instead.\n\n## Customising the workflow\n\n* Swap out the manual trigger for another trigger such as a webhook to integrate into your existing services.\n* This example demonstrates a validation use-case ie. \"does the candidate look qualified?\". You can try additionally extracting data points instead such as years of experiences, previous companies etc.",
    "workflow": {
      "meta": {
        "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
      },
      "nodes": [
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          "id": "38da57b7-2161-415d-8473-783ccdc7b975",
          "name": "When clicking ‘Test workflow’",
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        },
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          "id": "2cd46d91-105d-4b5e-be43-3343a9da815d",
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          "parameters": {
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            "content": "## Try me out!\n\n### This workflow converts a Candidate Resume PDF to an image which is then \"read\" by a Vision Language Model (VLM). The VLM assesses if the candidate's CV is a fit for the desired role.\n\nThis approach can be employed to combat \"hidden prompts\" planted in resumes to bypass and/or manipulate automated ATS systems using AI.\n\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n"
          },
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          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
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          ],
          "parameters": {
            "jsonSchemaExample": "{\n\t\"is_qualified\": true,\n\t\"reason\": \"\"\n}"
          },
          "typeVersion": 1.2
        },
        {
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          "name": "Should Proceed To Stage 2?",
          "type": "n8n-nodes-base.if",
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          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
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                  "operator": {
                    "type": "boolean",
                    "operation": "true",
                    "singleValue": true
                  },
                  "leftValue": "={{ $json.output.is_qualified }}",
                  "rightValue": ""
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        {
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          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
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            "content": "## 1. Download Candidate Resume\n[Read more about using Google Drive](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive)\n\nFor this demonstration, we'll pull the candidate's resume PDF from Google Drive but you can just as easily recieve this resume from email or your ATS.\n\nIt should be noted that our PDF is a special test case which has been deliberately injected with an AI bypass; the bypass is a hidden prompt which aims to override AI instructions and auto-qualify the candidate... sneaky!\n\nDownload a copy of this resume here: https://drive.google.com/file/d/1MORAdeev6cMcTJBV2EYALAwll8gCDRav/view?usp=sharing"
          },
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        },
        {
          "id": "d21fe4dd-0879-4e5a-a70d-10f09b25eee2",
          "name": "Download Resume",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            -80,
            840
          ],
          "parameters": {
            "fileId": {
              "__rl": true,
              "mode": "id",
              "value": "1MORAdeev6cMcTJBV2EYALAwll8gCDRav"
            },
            "options": {},
            "operation": "download"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "ea904365-d9d2-4f15-b7c3-7abfeb4c8c50",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            200,
            540
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          "parameters": {
            "color": 7,
            "width": 605.0267171444024,
            "height": 595.3148729042731,
            "content": "## 2. Convert PDF to Image(s)\n[Read more about using Stirling PDF](https://github.com/Stirling-Tools/Stirling-PDF)\n\nAI vision models can only accept images (and sometimes videos!) as non-text inputs but not PDFs at time of writing. We'll have to convert our PDF to an image in order to use it.\n\nHere, we'll use a tool called **Stirling PDF** which can provide this functionality and can be accessed via a HTTP API. Feel free to use an alternative solution if available, otherwise follow the instructions on the Stirling PDF website to set up your own instance.\n\nAdditionally, we'll reduce the resolution of our converted image to speed up the processing done by the LLM. I find that about 75% of an A4 (30x40cm) is a good balance."
          },
          "typeVersion": 1
        },
        {
          "id": "cd00a47f-1ab9-46bf-8ea1-46ac899095e7",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
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          "parameters": {
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            "width": 747.8139534883712,
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            "content": "## 3. Parse Resume with Multimodal LLM\n[Read more about using Basic LLM Chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/)\n\nMultimodal LLMs are LLMs which can accept binary inputs such as images, audio and/or video files. Most newer LLMs are by default multimodal and we'll use Google's Gemini here as an example. By processing each candidate's resume as an image, we avoid scenarios where text extraction fails due to layout issues or by picking up \"hidden\" or malicious prompts planted to subvert AI automated processing.\n\nThis vision model ensures the resume is read and understood as a human would. The hidden bypass is therefore rendered mute since the AI also cannot \"see\" the special prompt embedded in the document."
          },
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        {
          "id": "d60214c6-c67e-4433-9121-4d54f782b19d",
          "name": "PDF-to-Image API",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            340,
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          "parameters": {
            "url": "https://stirlingpdf.io/api/v1/convert/pdf/img",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "contentType": "multipart-form-data",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "fileInput",
                  "parameterType": "formBinaryData",
                  "inputDataFieldName": "data"
                },
                {
                  "name": "imageFormat",
                  "value": "jpg"
                },
                {
                  "name": "singleOrMultiple",
                  "value": "single"
                },
                {
                  "name": "dpi",
                  "value": "300"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
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          "name": "Resize Converted Image",
          "type": "n8n-nodes-base.editImage",
          "position": [
            530,
            880
          ],
          "parameters": {
            "width": 75,
            "height": 75,
            "options": {},
            "operation": "resize",
            "resizeOption": "percent"
          },
          "typeVersion": 1
        },
        {
          "id": "5fb6ac7e-b910-4dce-bba7-19b638fd817a",
          "name": "Google Gemini Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "position": [
            1000,
            980
          ],
          "parameters": {
            "options": {},
            "modelName": "models/gemini-1.5-pro-latest"
          },
          "credentials": {
            "googlePalmApi": {
              "id": "credential-id",
              "name": "googlePalmApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "2580b583-544a-47ee-b248-9cca528c9866",
          "name": "Candidate Resume Analyser",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            1000,
            820
          ],
          "parameters": {
            "text": "=Evaluate the candidate's resume.",
            "messages": {
              "messageValues": [
                {
                  "message": "=Assess the given Candiate Resume for the role of Plumber.\nDetermine if the candidate's skills match the role and if they qualify for an in-person interview."
                },
                {
                  "type": "HumanMessagePromptTemplate",
                  "messageType": "imageBinary"
                }
              ]
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 1.4
        },
        {
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          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            280,
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          "parameters": {
            "width": 225.51725256895617,
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            "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### Data Privacy Warning!\nFor demo purposes, we're using the public online version of Stirling PDF. It is recommended to setup your own private instance of Stirling PDF before using this workflow in production."
          },
          "typeVersion": 1
        }
      ],
      "pinData": {},
      "connections": {
        "Download Resume": {
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                "node": "PDF-to-Image API",
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          ]
        },
        "PDF-to-Image API": {
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        "Resize Converted Image": {
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                "node": "Candidate Resume Analyser",
                "type": "main",
                "index": 0
              }
            ]
          ]
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        "Google Gemini Chat Model": {
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                "node": "Candidate Resume Analyser",
                "type": "ai_languageModel",
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              }
            ]
          ]
        },
        "Structured Output Parser": {
          "ai_outputParser": [
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                "node": "Candidate Resume Analyser",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Candidate Resume Analyser": {
          "main": [
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              {
                "node": "Should Proceed To Stage 2?",
                "type": "main",
                "index": 0
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            ]
          ]
        },
        "When clicking ‘Test workflow’": {
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                "node": "Download Resume",
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            ]
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    "status": "published",
    "user": {
      "name": "Jimleuk",
      "username": "jimleuk",
      "bio": "Founder @ Subworkflow.ai - the fastest way to build durable RAG applications.\n\nFreelance AI Automation Engineer based in London, UK. Since 2024, my n8n templates have documented my journey into applied AI and have helped hundreds of businesses and organisations get up to speed with AI automation. Today, I continue to explore use-cases as AI evolves and occasionally upload templates which I find novel and interesting.\n\nSubscribe to the RSS Feed: https://cdn.subworkflow.ai/n8n-templates/rss.xml",
      "verified": true,
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            "details": "The Edit Image node allows you to manipulate and edit images. Use this node when you want to:\n\n- Blur an image\n- Add a border to an image\n- Create a new image\n- Crop an image\n- Composite an image on top of another\n- Draw on an image\n- Get information about the image\n- Rotate an image\n- Change the size of an image\n- Shear an image along the X or Y axis\n- Add text to the image",
            "resources": {
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            "nodeVersion": "1.0",
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            "subcategories": {
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                "Files",
                "Data Transformation"
              ]
            }
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        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Edit Image",
          "color": "#553399"
        },
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        "displayName": "Edit Image",
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        "nodeCategories": [
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        ]
      },
      {
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        "icon": "file:httprequest.svg",
        "name": "n8n-nodes-base.httpRequest",
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              "Request",
              "URL",
              "Build",
              "cURL"
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                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
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                  "icon": "📈",
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                },
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                  "icon": "✍️",
                  "label": "Learn how to automatically cross-post your content with n8n"
                },
                {
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                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/",
                  "icon": "🛳",
                  "label": "Running n8n on ships: An interview with Maranics"
                },
                {
                  "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/",
                  "icon": " 🪢",
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                },
                {
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                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
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                  "icon": "📜",
                  "label": "Celebrating World Poetry Day with a daily poem in Telegram"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/",
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                  "label": "Automate Designs with Bannerbear and n8n"
                },
                {
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                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
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                  "icon": "🧰",
                  "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation"
                },
                {
                  "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/",
                  "icon": "🦄",
                  "label": "Learn how to use webhooks with Mattermost slash commands"
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
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                  "icon": "📈",
                  "label": "A low-code bitcoin ticker built with QuestDB and n8n.io"
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/automations-for-activists/",
                  "icon": "✨",
                  "label": "How Common Knowledge use workflow automation for activism"
                },
                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
                  "icon": "🤟",
                  "label": "Creating scheduled text affirmations with n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
                  "icon": "🛵",
                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
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              ]
            },
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              "Core Nodes"
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "HTTP Request",
          "color": "#0004F5"
        },
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        "displayName": "HTTP Request",
        "typeVersion": 4,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 20,
        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
                  "icon": "🔗",
                  "label": "How to build a low-code, self-hosted URL shortener in 3 steps"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "⚙️",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/",
                  "icon": "🏷️",
                  "label": "How to automatically manage contributions to open-source projects"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "🙌",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
                  "icon": "🎖",
                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.if/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "If",
          "color": "#408000"
        },
        "iconData": {
          "icon": "map-signs",
          "type": "icon"
        },
        "displayName": "If",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 58,
        "icon": "file:googleDrive.svg",
        "name": "n8n-nodes-base.googleDrive",
        "codex": {
          "data": {
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Data & Storage"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Google Drive"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Drive",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 3,
            "name": "Data & Storage"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
        "codex": {
          "data": {
            "alias": [
              "LangChain"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Basic LLM Chain",
          "color": "#909298"
        },
        "iconData": {
          "icon": "link",
          "type": "icon"
        },
        "displayName": "Basic LLM Chain",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1262,
        "icon": "file:google.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Google Gemini Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Gemini Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 17,
        "name": "HR"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}