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.
HTTP Request, GitHub, Execute Workflow Trigger +1
Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates.
Execute Workflow Trigger, HTTP Request, GitHub