This workflow follows the Execute Workflow Trigger → HTTP Request 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 →
{
"id": "G8jRDBvwsMkkMiLN",
"name": "[3/3] Anomaly detection tool (crops dataset)",
"tags": [
{
"id": "spMntyrlE9ydvWFA",
"name": "anomaly-detection",
"createdAt": "2024-12-08T22:05:15.945Z",
"updatedAt": "2024-12-09T12:50:19.287Z"
}
],
"nodes": [
{
"id": "e01bafec-eb24-44c7-b3c4-a60f91666350",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
180
],
"parameters": {
"color": 6,
"width": 400,
"height": 740,
"content": "\uc6b0\ub9ac\ub294 \uc5ec\uae30\uc11c \uc791\ubb3c \ub370\uc774\ud130\uc14b\uacfc \ud568\uaed8 \uc791\uc5c5\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4: \n\ub370\uc774\ud130\uc14b\uc5d0 \uc788\ub294 \uae30\uc874 (\uc774\uc0c1 \uc0ac\ud56d\uc774 \uc544\ub2cc) \uc791\ubb3c \uc774\ubbf8\uc9c0\ub4e4\uc740: \n- '\uc9c4\uc8fc \uae30\uc7a5(\ubc14\uc988\ub77c)', \n- '\ub2f4\ubc30 \uc2dd\ubb3c', \n- '\uccb4\ub9ac', \n- '\ubaa9\ud654', \n- '\ubc14\ub098\ub098', \n- '\uc624\uc774', \n- '\uc625\uc218\uc218', \n- '\ubc00', \n- '\uc815\ud5a5', \n- '\uc218\uc218', \n- '\uc62c\ub9ac\ube0c \ub098\ubb34', \n- '\ub300\ub450', \n- '\ucee4\ud53c \ub098\ubb34', \n- '\ubcbc', \n- '\ub808\ubaac', \n- '\uaca8\uc790\uc720', \n- '\ub179\ub450', \n- '\ucf54\ucf54\ub11b', \n- '\ubcd1\uc544\ub9ac\ucf69', \n- '\ud30c\uc778\uc560\ud50c', \n- '\uc0ac\ud0d5\uc218\uc218', \n- '\ud574\ubc14\ub77c\uae30', \n- '\uace0\ucd94', \n- '\uc5ec\uc6b0 \uacac\uacfc(\ub9c8\uce74\ub098)', \n- '\ud669\ub9c8', \n- '\ud30c\ud30c\uc57c', \n- '\ucc28', \n- '\uce74\ub2e4\uba48', \n- '\uc544\ubaac\ub4dc'"
},
"typeVersion": 1
},
{
"id": "b9943781-de1f-4129-9b81-ed836e9ebb11",
"name": "Embed image",
"type": "n8n-nodes-base.httpRequest",
"position": [
680,
60
],
"parameters": {
"url": "https://api.voyageai.com/v1/multimodalembeddings",
"method": "POST",
"options": {},
"jsonBody": "={{\n{\n \"inputs\": [\n {\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": $('Image URL hardcode').first().json.imageURL\n }\n ]\n }\n ],\n \"model\": \"voyage-multimodal-3\",\n \"input_type\": \"document\"\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "47b72bc2-4817-48c6-b517-c1328e402468",
"name": "Get similarity of medoids",
"type": "n8n-nodes-base.httpRequest",
"position": [
940,
60
],
"parameters": {
"url": "={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/points/query",
"method": "POST",
"options": {},
"jsonBody": "={{\n{\n \"query\": $json.data[0].embedding,\n \"using\": \"voyage\",\n \"limit\": $('Info About Crop Labeled Clusters').first().json.cropsNumber,\n \"with_payload\": true,\n \"filter\": {\n \"must\": [\n { \n \"key\": $('Variables for medoids').first().json.clusterCenterType,\n \"match\": {\n \"value\": true\n }\n }\n ]\n }\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "qdrantApi"
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "42d7eb27-ec38-4406-b5c4-27eb45358e93",
"name": "Compare scores",
"type": "n8n-nodes-base.code",
"position": [
1140,
60
],
"parameters": {
"language": "python",
"pythonCode": "points = _input.first()['json']['result']['points']\nthreshold_type = _('Variables for medoids').first()['json']['clusterThresholdCenterType']\n\nmax_score = -1\ncrop_with_max_score = None\nundefined = True\n\nfor center in points:\n if center['score'] >= center['payload'][threshold_type]:\n undefined = False\n if center['score'] > max_score:\n max_score = center['score']\n crop_with_max_score = center['payload']['crop_name']\n\nif undefined:\n result_message = \"ALERT, we might have a new undefined crop!\"\nelse:\n result_message = f\"Looks similar to {crop_with_max_score}\"\n\nreturn [{\n \"json\": {\n \"result\": result_message\n }\n}]\n"
},
"typeVersion": 2
},
{
"id": "23aa604a-ff0b-4948-bcd5-af39300198c0",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-220
],
"parameters": {
"width": 400,
"height": 380,
"content": "## \uc791\ubb3c \uc774\uc0c1 \ud0d0\uc9c0 \ub3c4\uad6c\n### \uc774\ub294 \uc791\ubb3c\uc758 \uc774\uc0c1\uc744 \uc9c1\uc811 \ud0d0\uc9c0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ub3c4\uad6c\uc785\ub2c8\ub2e4. \n\uc785\ub825\uc73c\ub85c (\uc5b4\ub5a4) **\uc774\ubbf8\uc9c0 URL**\uc744 \ubc1b\uace0, **\ud14d\uc2a4\ud2b8 \uba54\uc2dc\uc9c0**\ub97c \ubc18\ud658\ud558\uc5ec \uc774 \uc774\ubbf8\uc9c0\uac00 Qdrant\uc5d0 \uc800\uc7a5\ub41c \uc791\ubb3c \ub370\uc774\ud130\uc14b\uc5d0 \ube44\ud574 \uc774\uc0c1\uc801\uc778\uc9c0 \uc5ec\ubd80\ub97c \uc54c\ub824\uc90d\ub2c8\ub2e4. \n\n* \uc774\ubbf8\uc9c0 URL\uc740 Execute Workflow Trigger\ub97c \ud1b5\ud574 \ubc1b\uc544\uc640\uc11c Voyage.ai Embeddings API\ub97c \uc774\uc6a9\ud574 \uc784\ubca0\ub529 \ubca1\ud130\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.\n* \ubc18\ud658\ub41c \ubca1\ud130\ub294 Qdrant \uceec\ub809\uc158\uc744 \uc870\ud68c\ud558\uc5ec \uc8fc\uc5b4\uc9c4 \uc791\ubb3c\uc774 \uac01 \uc774\ubbf8\uc9c0 \ud074\ub798\uc2a4(\uc791\ubb3c \uc720\ud615)\uc758 **\uc784\uacc4\uac12 \uc810\uc218**\uc640 \ube44\uad50\ud574 \uc54c\ub824\uc9c4 \uc791\ubb3c\uc778\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.\n* \ub9cc\uc57d \uc774\ubbf8\uc9c0\uc758 \uc810\uc218\uac00 \ubaa8\ub4e0 \uc784\uacc4\uac12\ubcf4\ub2e4 \ub0ae\uc73c\uba74, \ud574\ub2f9 \uc774\ubbf8\uc9c0\ub294 \ub370\uc774\ud130\uc14b\uc758 \uc774\uc0c1\uc73c\ub85c \uac04\uc8fc\ub429\ub2c8\ub2e4. \n\n### \ucd9c\ub825"
},
"typeVersion": 1
},
{
"id": "3a79eca2-44f9-4aee-8a0d-9c7ca2f9149d",
"name": "Variables for medoids",
"type": "n8n-nodes-base.set",
"position": [
-200,
60
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "dbbc1e7b-c63e-4ff1-9524-8ef3e9f6cd48",
"name": "clusterCenterType",
"type": "string",
"value": "is_medoid"
},
{
"id": "a994ce37-2530-4030-acfb-ec777a7ddb05",
"name": "qdrantCloudURL",
"type": "string",
"value": "https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io"
},
{
"id": "12f0a9e6-686d-416e-a61b-72d034ec21ba",
"name": "collectionName",
"type": "string",
"value": "=agricultural-crops"
},
{
"id": "4c88a617-d44f-4776-b457-8a1dffb1d03c",
"name": "clusterThresholdCenterType",
"type": "string",
"value": "is_medoid_cluster_threshold"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "13b25434-bd66-4293-93f1-26c67b9ec7dd",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
260
],
"parameters": {
"color": 6,
"width": 360,
"height": 200,
"content": "**clusterCenterType** - \ub458 \uc911 \ud558\ub098 \n* \"is_text_anchor_medoid\" \ub610\ub294 \n* \"is_medoid\" \n\n**clusterThresholdCenterType** - \ub458 \uc911 \ud558\ub098 \n* \"is_text_anchor_medoid_cluster_threshold\" \ub610\ub294 \n* \"is_medoid_cluster_threshold\""
},
"typeVersion": 1
},
{
"id": "869b0962-6cae-487d-8230-539a0cc4c14c",
"name": "Info About Crop Labeled Clusters",
"type": "n8n-nodes-base.set",
"position": [
440,
60
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5327b254-b703-4a34-a398-f82edb1d6d6b",
"name": "=cropsNumber",
"type": "number",
"value": "={{ $json.result.hits.length }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5d3956f8-f43b-439e-b176-a594a21d8011",
"name": "Total Points in Collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
40,
60
],
"parameters": {
"url": "={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/count",
"method": "POST",
"options": {},
"jsonBody": "={\n \"exact\": true\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "qdrantApi"
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "14ba3db9-3965-4b20-b333-145616d45c3a",
"name": "Each Crop Counts",
"type": "n8n-nodes-base.httpRequest",
"position": [
240,
60
],
"parameters": {
"url": "={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/facet",
"method": "POST",
"options": {},
"jsonBody": "={{\n{\n \"key\": \"crop_name\",\n \"limit\": $json.result.count,\n \"exact\": true\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "qdrantApi"
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "e37c6758-0556-4a56-ab14-d4df663cb53a",
"name": "Image URL hardcode",
"type": "n8n-nodes-base.set",
"position": [
-480,
60
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "46ceba40-fb25-450c-8550-d43d8b8aa94c",
"name": "imageURL",
"type": "string",
"value": "={{ $json.query.imageURL }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b24ad1a7-0cf8-4acc-9c18-6fe9d58b10f2",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-720,
60
],
"parameters": {},
"typeVersion": 1
},
{
"id": "50424f2b-6831-41bf-8de4-81f69d901ce1",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-80
],
"parameters": {
"width": 180,
"height": 120,
"content": "\uc774\uc804 2\uac1c\uc758 \ud30c\uc774\ud504\ub77c\uc778\uc5d0\uc11c \uc5c5\ub85c\ub4dc \ubc0f \uc900\ube44\ud55c Qdrant\uc758 \uceec\ub809\uc158\uc5d0 \uc811\uadfc\ud558\uae30 \uc704\ud55c \ubcc0\uc218\ub4e4"
},
"typeVersion": 1
},
{
"id": "2e8ed3ca-1bba-4214-b34b-376a237842ff",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
40,
-120
],
"parameters": {
"width": 560,
"height": 140,
"content": "\uc774 \uc138 \ub178\ub4dc\ub294 \uc6b0\ub9ac Qdrant \uceec\ub809\uc158\uc5d0 \uc5bc\ub9c8\ub098 \ub9ce\uc740 \ub2e4\ub978 \ud074\ub798\uc2a4(\uc791\ubb3c)\uac00 \uc788\ub294\uc9c0 \uc54c\uc544\ub0b4\uae30 \uc704\ud574 \ud544\uc694\ud569\ub2c8\ub2e4: cropsNumber (\"Get similarity of medoids\" \ub178\ub4dc\uc5d0\uc11c \ud544\uc694\ud569\ub2c8\ub2e4. \n[\ub178\ud2b8] \"Total Points in Collection\" -> \"Each Crop Counts\"\ub294 \"[2/4] Set up medoids (2 types) for anomaly detection (crops dataset)\" \ud30c\uc774\ud504\ub77c\uc778\uc5d0\uc11c \uc774\ubbf8 \uc0ac\uc6a9\ub418\uace0 \uc124\uba85\ub418\uc5c8\uc2b5\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "e2fa5763-6e97-4ff5-8919-1cb85a3c6968",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
240
],
"parameters": {
"height": 120,
"content": "\uc5ec\uae30\uc11c, \uc6b0\ub9ac\ub294 \uc774 \uc6cc\ud06c\ud50c\ub85c\uc6b0 \ub3c4\uad6c\uc5d0 \uc804\ub2ec\ub41c \uc774\ubbf8\uc9c0\ub97c Voyage \uc784\ubca0\ub529 \ubaa8\ub378\ub85c \uc784\ubca0\ub529\ud558\uc5ec \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc758 \ubaa8\ub4e0 \uc791\ubb3c \uc774\ubbf8\uc9c0\uc640 \ube44\uad50\ud569\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "cdb6b8d3-f7f4-4d66-850f-ce16c8ed98b9",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
220
],
"parameters": {
"width": 400,
"height": 180,
"content": "\uc774\ubbf8\uc9c0\uac00 \ubaa8\ub4e0 \ud074\ub7ec\uc2a4\ud130 \uc911\uc2ec(\uc791\ubb3c)\uacfc \uc5bc\ub9c8\ub098 \uc720\uc0ac\ud55c\uc9c0 \ud655\uc778\ud558\ub294 \uc911. \n\ub9cc\uc57d \uc774\uc804 \uc6cc\ud06c\ud50c\ub85c\uc6b0\uc5d0\uc11c \uc124\uc815\ud558\uace0 \uc911\uc2ec\uc5d0 \uc800\uc7a5\ud55c \uac83\uacfc \ub354 \uc720\uc0ac\ud558\ub2e4\uba74, \uc774 \uc774\ubbf8\uc9c0\ub294 \uc774 \uc791\ubb3c \ud074\ub798\uc2a4\uc5d0 \uc18d\ud560 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4; \uadf8\ub807\uc9c0 \uc54a\uc73c\uba74, \ud074\ub798\uc2a4\uc5d0 \ube44\uc815\uc0c1\uc801\uc785\ub2c8\ub2e4. \n\uc774\ubbf8\uc9c0\uac00 \ubaa8\ub4e0 \ud074\ub798\uc2a4\uc5d0 \ub300\ud574 \ube44\uc815\uc0c1\uc801\uc774\ub77c\uba74, \uadf8\uac83\uc740 \uc774\uc0c1\uc785\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "03b4699f-ba43-4f5f-ad69-6f81deea2641",
"name": "Sticky Note22",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
580
],
"parameters": {
"color": 4,
"width": 540,
"height": 300,
"content": "### \uc774\uc0c1 \ud0d0\uc9c0\n\n1. \uccab \ubc88\uc9f8 \ud30c\uc774\ud504\ub77c\uc778\uc740 (crops) \ub370\uc774\ud130\uc14b\uc744 Qdrant\uc758 \uceec\ub809\uc158\uc5d0 \uc5c5\ub85c\ub4dc\ud569\ub2c8\ub2e4.\n2. \ub450 \ubc88\uc9f8 \ud30c\uc774\ud504\ub77c\uc778\uc740 \uc774 Qdrant \uceec\ub809\uc158\uc5d0 \ud074\ub7ec\uc2a4\ud130 (\ud074\ub798\uc2a4) \uc13c\ud130\ub97c \uc124\uc815\ud558\uace0 \ud074\ub7ec\uc2a4\ud130 (\ud074\ub798\uc2a4) \uc784\uacc4\uac12 \uc810\uc218\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.\n3. **\uc774\uac83\uc740 \uc785\ub825\uc73c\ub85c \uc5b4\ub5a4 \uc774\ubbf8\uc9c0\ub4e0 \ubc1b\uc544\ub4e4\uc774\uace0 Qdrant (crops) \uceec\ub809\uc158\uc73c\ub85c \uc218\ud589\ub41c \ubaa8\ub4e0 \uc900\ube44 \uc791\uc5c5\uc744 \uc0ac\uc6a9\ud558\ub294 \uc774\uc0c1 \ud0d0\uc9c0 \ub3c4\uad6c\uc785\ub2c8\ub2e4.**\n\n### \uc7ac\uc0dd\uc131 \ubc29\ubc95\n\nKaggle\uc5d0\uc11c [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) \ub370\uc774\ud130\uc14b\uc744 \uc790\uc2e0\uc758 Google Storage \ubc84\ud0b7\uc5d0 \uc5c5\ub85c\ub4dc\ud574\uc57c \ud558\uba70, [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/)\uc5d0 \ub300\ud55c APIs/\uc5f0\uacb0\uc744 \uc7ac\uc0dd\uc131\ud574\uc57c \ud569\ub2c8\ub2e4 (**Free Tier** \ud074\ub7ec\uc2a4\ud130\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc74c), Voyage AI API \ubc0f Google Cloud Storage.\n\n**\uc77c\ubc18\uc801\uc73c\ub85c, \ud30c\uc774\ud504\ub77c\uc778\uc740 \uc5b4\ub5a4 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc5d0\ub3c4 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.**"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f67b764b-9e1a-4db0-b9f2-490077a62f74",
"connections": {
"Embed image": {
"main": [
[
{
"node": "Get similarity of medoids",
"type": "main",
"index": 0
}
]
]
},
"Each Crop Counts": {
"main": [
[
{
"node": "Info About Crop Labeled Clusters",
"type": "main",
"index": 0
}
]
]
},
"Image URL hardcode": {
"main": [
[
{
"node": "Variables for medoids",
"type": "main",
"index": 0
}
]
]
},
"Variables for medoids": {
"main": [
[
{
"node": "Total Points in Collection",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Image URL hardcode",
"type": "main",
"index": 0
}
]
]
},
"Get similarity of medoids": {
"main": [
[
{
"node": "Compare scores",
"type": "main",
"index": 0
}
]
]
},
"Total Points in Collection": {
"main": [
[
{
"node": "Each Crop Counts",
"type": "main",
"index": 0
}
]
]
},
"Info About Crop Labeled Clusters": {
"main": [
[
{
"node": "Embed image",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
httpHeaderAuthqdrantApi
Pro
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About this workflow
[3/3] Anomaly detection tool (crops dataset). Uses httpRequest, executeWorkflowTrigger. Event-driven trigger; 17 nodes.
Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8nworkflows/ai/2656.json — original creator credit. Request a take-down →
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Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates.
Execute Workflow Trigger, HTTP Request, GitHub
This workflow audits your SharePoint Online environment for external sharing risks by identifying files and folders that are shared with anonymous links or external/guest users. It is designed to trav
HTTP Request, Execute Workflow Trigger