{
  "workflow": {
    "id": 2344,
    "name": "Generating image embeddings via textual summarisation",
    "views": 9227,
    "recentViews": 0,
    "totalViews": 9227,
    "createdAt": "2024-07-11T17:05:23.103Z",
    "description": "This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual search. Use-cases could for a personal photo library, product recommendations or searching through video footage.\n\n## How it works\n* A photo is imported into the workflow via Google Drive.\n* The photo is processed by the edit image node to extract colour information. This information forms part of our semantic metadata used to identify the image.\n* The photo is also processed by a vision-capable model which analyses the image and returns a short description with semantic keywords.\n* Both pieces of information about the image are combined with the metadata of the image to form a document describing the image.\n* This document is then inserted into our vector store as a text embedding which is associated with our image.\n* From here, the user can query the vector store as they would any document and the relevant image references and/or links should be returned.\n\n## Requirements\n* Google account to download image files from Google Drive.\n* OpenAI account for the Vision-capable AI and Embedding models.\n\n## Customise this workflow\n\nText summarisation is just one of many techniques to generate image embeddings. If the results are unsatisfactory, there are dedicated image embedding models such as [Google's vertex AI multimodal embeddings](https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-multimodal-embeddings).",
    "workflow": {
      "meta": {
        "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
        "templateCredsSetupCompleted": true
      },
      "nodes": [
        {
          "id": "141638a4-b340-473f-a800-be7dbdcff131",
          "name": "When clicking \"Test workflow\"",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            695,
            380
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "6ccdaca5-f620-4afa-bed6-92f3a450687d",
          "name": "Google Drive",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            875,
            380
          ],
          "parameters": {
            "fileId": {
              "__rl": true,
              "mode": "list",
              "value": "0B43u2YYOTJR2cC1BRkptZ3N4QTk4NEtxRko5cjhKUUFyemw0",
              "cachedResultUrl": "https://drive.google.com/file/d/0B43u2YYOTJR2cC1BRkptZ3N4QTk4NEtxRko5cjhKUUFyemw0/view?usp=drivesdk&resourcekey=0-UJ8EfTMMBRNVyBb6KhN2Tg",
              "cachedResultName": "0B0A0255.jpeg"
            },
            "options": {},
            "operation": "download"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "b0c2f7a4-a336-4705-aeda-411f2518aaef",
          "name": "Get Color Information",
          "type": "n8n-nodes-base.editImage",
          "position": [
            1200,
            200
          ],
          "parameters": {
            "operation": "information"
          },
          "typeVersion": 1
        },
        {
          "id": "3e42b3f1-6900-4622-8c0d-2d9a27a7e1c9",
          "name": "Resize Image",
          "type": "n8n-nodes-base.editImage",
          "position": [
            1200,
            580
          ],
          "parameters": {
            "width": 512,
            "height": 512,
            "options": {},
            "operation": "resize",
            "resizeOption": "onlyIfLarger"
          },
          "typeVersion": 1
        },
        {
          "id": "00425bb2-289e-4a09-8fcb-52319281483c",
          "name": "Default Data Loader",
          "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
          "position": [
            2300,
            380
          ],
          "parameters": {
            "options": {
              "metadata": {
                "metadataValues": [
                  {
                    "name": "source",
                    "value": "={{ $('Document for Embedding').item.json.metadata.source }}"
                  },
                  {
                    "name": "format",
                    "value": "={{ $('Document for Embedding').item.json.metadata.format }}"
                  },
                  {
                    "name": "backgroundColor",
                    "value": "={{ $('Document for Embedding').item.json.metadata.backgroundColor }}"
                  }
                ]
              }
            }
          },
          "typeVersion": 1
        },
        {
          "id": "06dbdf39-9d72-460e-a29c-1ae4e9f3552a",
          "name": "Recursive Character Text Splitter",
          "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
          "position": [
            2300,
            500
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 1
        },
        {
          "id": "139cac42-c006-4c9d-8298-ade845e137a7",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1140,
            100
          ],
          "parameters": {
            "color": 7,
            "width": 372,
            "height": 288,
            "content": "### Get Color Channels\n[Source: https://www.pinecone.io/learn/series/image-search/color-histograms/](https://www.pinecone.io/learn/series/image-search/color-histograms/)"
          },
          "typeVersion": 1
        },
        {
          "id": "9b8584ae-067c-4515-b194-32986ba3bf8b",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1140,
            418
          ],
          "parameters": {
            "color": 7,
            "width": 376.4067897296865,
            "height": 335.30166772984643,
            "content": "### Generate Image Keywords\n[Source: https://www.pinecone.io/learn/series/image-search/bag-of-visual-words/](https://www.pinecone.io/learn/series/image-search/bag-of-visual-words/)\n\nNote, OpenAI Image models work best when image is resized to 512x512."
          },
          "typeVersion": 1
        },
        {
          "id": "7f2c27d7-9947-42fa-aafb-78f4f95ac433",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            240,
            540
          ],
          "parameters": {
            "color": 3,
            "width": 359.1981770749933,
            "height": 98.40143173756314,
            "content": "⚠️ **Multimodal embedding is not designed analyze medical images for diagnostic features or disease patterns.** Please do not use Multimodal embedding for medical purposes."
          },
          "typeVersion": 1
        },
        {
          "id": "cb6b4a82-db5f-41f0-94dc-6cfabe0905eb",
          "name": "Combine Image Analysis",
          "type": "n8n-nodes-base.merge",
          "position": [
            1700,
            260
          ],
          "parameters": {
            "mode": "combine",
            "options": {},
            "combinationMode": "mergeByPosition"
          },
          "typeVersion": 2.1
        },
        {
          "id": "1ba33665-3ebb-4b23-989d-eec53dfd225a",
          "name": "Document for Embedding",
          "type": "n8n-nodes-base.set",
          "position": [
            1860,
            257
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "8204b731-24e2-4993-9e6d-4cea80393580",
                  "name": "data",
                  "type": "string",
                  "value": "=## keywords\\n\n{{ $json.content }}\\n\n## color information:\\n\n{{ JSON.stringify($json[\"Channel Statistics\"]) }}"
                },
                {
                  "id": "ca49cccf-ea4e-4362-bf49-ac836c8758d3",
                  "name": "metadata",
                  "type": "object",
                  "value": "={ \"format\": \"{{ $json.format }}\", \"backgroundColor\": \"{{ $json[\"Background Color\"] }}\", \"source\": \"{{ $binary.data.fileName }}\" } "
                }
              ]
            }
          },
          "typeVersion": 3.3
        },
        {
          "id": "5d01a2fd-0190-48fc-b588-d5872c5cd793",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            640,
            250.0169327052916
          ],
          "parameters": {
            "color": 7,
            "width": 418.6907913057789,
            "height": 316.7698949693208,
            "content": "## 1. Get the Source Image\nIn this demo, we just need an image file. We'll pull an image from google drive but you can use all input trigger or source you prefer."
          },
          "typeVersion": 1
        },
        {
          "id": "4c9825f3-6a2b-4fd2-bdb1-e49f8d947e7a",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1098.439755647174,
            -145.1609149026466
          ],
          "parameters": {
            "color": 7,
            "width": 462.52060804115854,
            "height": 938.3723985625845,
            "content": "## 2. Image Embedding Methods\n[Read more about working with images in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage)\n\nThere are a [myriad of image embedding techniques](https://www.pinecone.io/learn/series/image-search/) some which involve specialised models and some which do a simplified image-to-text representation.\nIn this demo, we'll use the simplified text representation methods: collecting color channel information and using Multimodal LLMs to produce keywords for the image. Together, these will form the document we'll embed to represent our image for search."
          },
          "typeVersion": 1
        },
        {
          "id": "e4035987-16c0-4d03-9e20-5f2042a6a020",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1600,
            120
          ],
          "parameters": {
            "color": 7,
            "width": 418.6907913057789,
            "height": 343.6004071339855,
            "content": "## 3. Generate Embedding Doc\nIt is important to define your metadata for later filtering and retrieval purposes.\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "91fe4c5c-c063-48e2-b248-801c11880c69",
          "name": "Sticky Note6",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2060,
            -11.068945113406585
          ],
          "parameters": {
            "color": 7,
            "width": 532.5269726975372,
            "height": 665.9365418117011,
            "content": "## 3. Store in Vector Store\n[Read more about vector stores](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory)\n\nOnce our document is ready, we can just insert into any vector store to make it ready for searching. When searching, be sure to defined the same vector store index used here!\nNote: Metadata is defined in the document loader which must be mapped manually.\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "6e8ffa06-ddec-463a-b8d6-581ad7095398",
          "name": "Embeddings OpenAI1",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            2680,
            547
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "3dea73b2-6aa1-4158-945e-a5d6bea65244",
          "name": "Sticky Note7",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2620,
            200
          ],
          "parameters": {
            "color": 7,
            "width": 400.96585774172854,
            "height": 512.739000439197,
            "content": "## 4. Try it out!\n[Read more about vector stores](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory)\n\nHere's a quick test to use a simple text prompt to search for the image. Next step would be to implement image-to-image search by using the \"Embedding Doc\" to search rather to store in the vector database.\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "f6a543d4-df3b-456c-8f85-4dca29029b55",
          "name": "Sticky Note8",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            240,
            140
          ],
          "parameters": {
            "width": 359.6648027457353,
            "height": 384.6280362222034,
            "content": "## Try It Out!\n### This workflow does the following:\n* Downloads a selected image from Google Drive.\n* Extracts colour channel information from the image.\n* Generates semantic keywords of the iamge using OpenAI vision model.\n* Combines extracted and generated data to create an embedding document for the image.\n* Inserts this document into a vector store to allow for vector search on the original image. \n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
          },
          "typeVersion": 1
        },
        {
          "id": "724acae9-75d2-4421-b5a3-b920f7bda825",
          "name": "In-Memory Vector Store",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
          "position": [
            2180,
            200
          ],
          "parameters": {
            "mode": "insert",
            "memoryKey": "image_embeddings"
          },
          "typeVersion": 1
        },
        {
          "id": "52afd512-0d55-4ae3-9377-4cb324c571a8",
          "name": "Embeddings OpenAI",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            2180,
            420
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "c769f279-22ef-4cb1-aef3-9089bb92a0a4",
          "name": "Search for Image",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
          "position": [
            2680,
            387
          ],
          "parameters": {
            "mode": "load",
            "prompt": "student having fun",
            "memoryKey": "image_embeddings"
          },
          "typeVersion": 1
        },
        {
          "id": "9aea3018-1377-4802-a5d0-509c221f4fc7",
          "name": "Get Image Keywords",
          "type": "@n8n/n8n-nodes-langchain.openAi",
          "position": [
            1360,
            580
          ],
          "parameters": {
            "text": "Extract all possible semantic keywords which describe the image. Be comprehensive and be sure to identify subjects (if applicable) such as biological and non-biological objects, lightning, mood, tone, color, special effects, camera and/or techniques used if known. Respond with a comma-separated list.",
            "modelId": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o",
              "cachedResultName": "GPT-4O"
            },
            "options": {},
            "resource": "image",
            "inputType": "base64",
            "operation": "analyze"
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.8
        }
      ],
      "pinData": {},
      "connections": {
        "Google Drive": {
          "main": [
            [
              {
                "node": "Get Color Information",
                "type": "main",
                "index": 0
              },
              {
                "node": "Resize Image",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Resize Image": {
          "main": [
            [
              {
                "node": "Get Image Keywords",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI": {
          "ai_embedding": [
            [
              {
                "node": "In-Memory Vector Store",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI1": {
          "ai_embedding": [
            [
              {
                "node": "Search for Image",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Get Image Keywords": {
          "main": [
            [
              {
                "node": "Combine Image Analysis",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "Default Data Loader": {
          "ai_document": [
            [
              {
                "node": "In-Memory Vector Store",
                "type": "ai_document",
                "index": 0
              }
            ]
          ]
        },
        "Get Color Information": {
          "main": [
            [
              {
                "node": "Combine Image Analysis",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Combine Image Analysis": {
          "main": [
            [
              {
                "node": "Document for Embedding",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Document for Embedding": {
          "main": [
            [
              {
                "node": "In-Memory Vector Store",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "When clicking \"Test workflow\"": {
          "main": [
            [
              {
                "node": "Google Drive",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Recursive Character Text Splitter": {
          "ai_textSplitter": [
            [
              {
                "node": "Default Data Loader",
                "type": "ai_textSplitter",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 22,
      "nodeTypes": {
        "n8n-nodes-base.set": {
          "count": 1
        },
        "n8n-nodes-base.merge": {
          "count": 1
        },
        "n8n-nodes-base.editImage": {
          "count": 2
        },
        "n8n-nodes-base.stickyNote": {
          "count": 9
        },
        "n8n-nodes-base.googleDrive": {
          "count": 1
        },
        "n8n-nodes-base.manualTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.openAi": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.embeddingsOpenAi": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.vectorStoreInMemory": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.documentDefaultDataLoader": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter": {
          "count": 1
        }
      }
    },
    "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,
      "links": [
        "https://linkedin.com/in/jimleuk"
      ],
      "avatar": "https://gravatar.com/avatar/4ab99e51473df76838beeaac908747f7928c625f869794815cabe34016967d51?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 9,
        "icon": "fa:image",
        "name": "n8n-nodes-base.editImage",
        "codex": {
          "data": {
            "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": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage/"
                }
              ]
            },
            "categories": [
              "Marketing",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Files",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Edit Image",
          "color": "#553399"
        },
        "iconData": {
          "icon": "image",
          "type": "icon"
        },
        "displayName": "Edit Image",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          },
          {
            "id": 27,
            "name": "Marketing"
          }
        ]
      },
      {
        "id": 24,
        "icon": "file:merge.svg",
        "name": "n8n-nodes-base.merge",
        "codex": {
          "data": {
            "alias": [
              "Join",
              "Concatenate",
              "Wait"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/how-to-sync-data-between-two-systems/",
                  "icon": "🏬",
                  "label": "How to synchronize data between two systems (one-way vs. two-way sync"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/",
                  "icon": "📈",
                  "label": "Migrating Community Metrics to Orbit using n8n"
                },
                {
                  "url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/",
                  "icon": "👦",
                  "label": "Build your own virtual assistant with n8n: A step by step guide"
                },
                {
                  "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/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.merge/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Merge"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Merge",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 38,
        "icon": "fa:pen",
        "name": "n8n-nodes-base.set",
        "codex": {
          "data": {
            "alias": [
              "Set",
              "JS",
              "JSON",
              "Filter",
              "Transform",
              "Map"
            ],
            "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/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "📈",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/",
                  "icon": "📡",
                  "label": "Database Monitoring and Alerting with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "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/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/building-an-expense-tracking-app-in-10-minutes/",
                  "icon": "📱",
                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/",
                  "icon": "📹",
                  "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"
                },
                {
                  "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/learn-to-build-powerful-api-endpoints-using-webhooks/",
                  "icon": "🧰",
                  "label": "Learn to Build Powerful API Endpoints Using Webhooks"
                },
                {
                  "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"
                },
                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
                  "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/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/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"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Edit Fields"
        },
        "iconData": {
          "icon": "pen",
          "type": "icon"
        },
        "displayName": "Edit Fields (Set)",
        "typeVersion": 3,
        "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": 1141,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Embeddings"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Embeddings OpenAI"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Embeddings OpenAI",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1191,
        "icon": "fa:grip-lines-vertical",
        "name": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Text Splitters"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Recursive Character Text Splitter"
        },
        "iconData": {
          "icon": "grip-lines-vertical",
          "type": "icon"
        },
        "displayName": "Recursive Character Text Splitter",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1209,
        "icon": "fa:database",
        "name": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Vector Stores",
                "Tools",
                "Root Nodes"
              ],
              "Tools": [
                "Other Tools"
              ],
              "Vector Stores": [
                "For Beginners"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Simple Vector Store"
        },
        "iconData": {
          "icon": "database",
          "type": "icon"
        },
        "displayName": "Simple Vector Store",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1243,
        "icon": "file:binary.svg",
        "name": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Document Loaders"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Default Data Loader"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NjgiIGhlaWdodD0iMTAyNCI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTAgOTYwVjY0aDU3NmwxOTIgMTkydjcwNHptNzA0LTY0MEw1MTIgMTI4SDY0djc2OGg2NDB6TTMyMCA1MTJIMTI4VjI1NmgxOTJ6bS02NC0xOTJoLTY0djEyOGg2NHptMCA0NDhoNjR2NjRIMTI4di02NGg2NFY2NDBoLTY0di02NGgxMjh6bTI1Ni0zMjBoNjR2NjRIMzg0di02NGg2NFYzMjBoLTY0di02NGgxMjh6bTY0IDM4NEgzODRWNTc2aDE5MnptLTY0LTE5MmgtNjR2MTI4aDY0eiIvPjwvc3ZnPg=="
        },
        "displayName": "Default Data Loader",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1250,
        "icon": "file:openAi.svg",
        "name": "@n8n/n8n-nodes-langchain.openAi",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "ChatGPT",
              "Sora",
              "DallE",
              "whisper",
              "audio",
              "transcribe",
              "tts",
              "assistant"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Miscellaneous",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenAI",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 5,
        "name": "Engineering"
      },
      {
        "id": 48,
        "name": "AI RAG"
      }
    ],
    "image": []
  }
}