벡터 집합의 중심점 계산
이것은Other, Building Blocks분야의자동화 워크플로우로, 8개의 노드를 포함합니다.주로 Set, Code, Webhook, RespondToWebhook 등의 노드를 사용하며. 벡터 집합의 중심을 계산합니다.
- •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
사용된 노드 (8)
{
"id": "g3q68zSOQvTcydLs",
"meta": {
"instanceId": "92786e96ce436aecd3a1d62d818a74e51ca684bb36c805928bef93a3b46549ad"
},
"name": "Calculate the Centroid of a Set of Vectors",
"tags": [],
"nodes": [
{
"id": "32a8aa56-aa7e-4c9e-a39e-f65234224bcf",
"name": "벡터 수신",
"type": "n8n-nodes-base.webhook",
"position": [
-440,
20
],
"webhookId": "30091e91-fc67-4bab-b1fd-ed65c8f4f860",
"parameters": {
"path": "centroid",
"options": {},
"responseMode": "responseNode"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "a020a49a-cc9f-49af-aa95-829d9d16da04",
"name": "벡터 추출 및 파싱",
"type": "n8n-nodes-base.set",
"position": [
360,
20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3e1d9e72-7668-427d-958c-42bff7270a37",
"name": "vectors",
"type": "array",
"value": "={{ $json.query.vectors }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2f328de6-4ef1-4aac-8838-d616637f4b88",
"name": "유효성 검사 및 중심 계산",
"type": "n8n-nodes-base.code",
"position": [
960,
20
],
"parameters": {
"jsCode": "const input = items[0].json;\nconst vectors = input.vectors;\n\nif (!Array.isArray(vectors) || vectors.length === 0) {\n return [{ json: { error: \"Invalid input: Expected an array of vectors.\" } }];\n}\n\nconst dimension = vectors[0].length;\nif (!vectors.every(v => v.length === dimension)) {\n return [{ json: { error: \"Vectors have inconsistent dimensions.\" } }];\n}\n\nconst centroid = new Array(dimension).fill(0);\nvectors.forEach(vector => {\n vector.forEach((val, index) => {\n centroid[index] += val;\n });\n});\n\nfor (let i = 0; i < dimension; i++) {\n centroid[i] /= vectors.length;\n}\n\nreturn [{ json: { centroid } }];"
},
"typeVersion": 2
},
{
"id": "821bc173-3578-4cf2-9fd7-8ea9cba8dc3f",
"name": "중심 응답 반환",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1640,
20
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "73964e7b-1217-422f-8078-09604fa2a3d7",
"name": "스티키 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
-200
],
"parameters": {
"color": 3,
"width": 620,
"height": 420,
"content": "📌 **Description:** \nThis node extracts the `vectors` array from the **GET request** and converts it into a properly formatted array for processing. \n- **Ensures `vectors` is a valid array.** \n- **If the parameter is missing, it may generate an error.** \n\n🔹 **Expected Output Example:**\n```json\n{\n \"vectors\": [[2,3,4],[4,5,6],[6,7,8]]\n}\n```\n"
},
"typeVersion": 1
},
{
"id": "e4793b20-bfa6-4b08-b46c-f92d1c9c2622",
"name": "스티키 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-280
],
"parameters": {
"color": 4,
"width": 700,
"height": 500,
"content": "📌 **Description:** \nThis node performs **vector validation** and **centroid computation**. \n- **Validation:** Ensures all vectors have the same number of dimensions. \n- **Computation:** Averages each dimension to determine the centroid. \n- **If validation fails:** Returns an error message indicating inconsistent dimensions. \n\n🔹 **Successful Output Example:**\n```json\n{\n \"centroid\": [4,5,6]\n}\n```\n🔹 **Error Output Example:**\n```json\n{\n \"error\": \"Vectors have inconsistent dimensions.\"\n}\n```\n"
},
"typeVersion": 1
},
{
"id": "e0ac1c4d-0435-44d1-ba87-0cfc9dea207b",
"name": "스티키 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1340,
-200
],
"parameters": {
"color": 2,
"width": 680,
"height": 420,
"content": "📌 **Description:** \nThis node sends the **final response** back to the client that made the request. \n- **If the computation is successful**, it returns the centroid. \n- **If an error occurs**, it returns a descriptive error message. \n\n🔹 **Example Response:**\n```json\n{\n \"centroid\": [4, 5, 6]\n}\n```\n"
},
"typeVersion": 1
},
{
"id": "2b4fbae7-c2e5-4666-ba9f-72a5313fc16f",
"name": "스티키 노트4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-820,
-200
],
"parameters": {
"color": 4,
"width": 840,
"height": 420,
"content": "📌 **Description:** \nThis node acts as the **entry point** for the workflow, receiving a **GET request** containing an array of vectors in the `vectors` parameter. \n- **Expected Input:** `vectors` parameter in JSON format. \n- **Example Request:** \n ```plaintext\n https://actions.singular-innovation.com/webhook-test/centroid?vectors=[[2,3,4],[4,5,6],[6,7,8]]\n ```\n- **Output:** Passes the received data to the next node for processing.\n"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {
"Receive Vectors": [
{
"json": {
"body": {},
"query": {
"vectors": "[[2,3,4],[4,5,6],[6,7,8]]"
},
"params": {},
"headers": {
"host": "actions.singular-innovation.com",
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
"cookie": "rl_page_init_referrer=RudderEncrypt%3AU2FsdGVkX1%2FNTT5WOkcYG%2FWSKmLWL%2F6W9TAbYFEQv8s%3D; rl_page_init_referring_domain=RudderEncrypt%3AU2FsdGVkX19thqA5y56KyQdmUG3L%2BhCiYIxQok7WXRI%3D; n8n-auth=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImZjOTg1OTJjLTcwOWUtNGI5Mi1hODk0LWZiNjVlODY1ZmRlMiIsImhhc2giOiJhOFg4MW1zcU1zIiwiaWF0IjoxNzM3OTg1MzI5LCJleHAiOjE3Mzg1OTAxMjl9.GSjpKJ_cG5CqttWwhEeHOxWwlNByvLTu8CGH7ncVug8; rl_anonymous_id=RudderEncrypt%3AU2FsdGVkX1%2BickXpx2WwsiLS3K45TJoms2IgVIMIQRvQnuaNzfjLtzG9mEXObNu4ojurRNkdq0msPjPy10UDEQ%3D%3D; rl_user_id=RudderEncrypt%3AU2FsdGVkX1%2BbvZ%2F6U02zoG3zOFSyRAIzp7gVabGBqqkm7MUCy3Wkn5WOQd%2F%2Bk5e8gVlJ%2BUkJOYJnhS%2F%2Btc7D99%2FTIaFVympE%2BjrtY7ydRWcd69oJHwZWGK%2BeCP1cKh9fqq%2B3sFCVYv7pnm4xMkAAwAM%2BDuzhFTZ0ZFWEA9t8z9M%3D; rl_trait=RudderEncrypt%3AU2FsdGVkX19s%2BCzIY1zJrLksYKMyyTZBHFB0YpKHQWouDTpomPoyyHa9MtTtEUArCVmtBaEf%2FqNhQKJrC8I4hX%2FepCmsx8TqQ6Rzxij0%2FBPvvdq6JWijlttfLovsIF%2BjDLnmVfeRsPbdVgrJXo0neA%3D%3D; ph_phc_4URIAm1uYfJO7j8kWSe0J8lc8IqnstRLS7Jx8NcakHo_posthog=%7B%22distinct_id%22%3A%2292786e96ce436aecd3a1d62d818a74e51ca684bb36c805928bef93a3b46549ad%23fc98592c-709e-4b92-a894-fb65e865fde2%22%2C%22%24sesid%22%3A%5B1738160096669%2C%220194b262-b90a-74cf-ab0d-257b174571c7%22%2C1738159601930%5D%2C%22%24epp%22%3Atrue%2C%22%24initial_person_info%22%3A%7B%22r%22%3A%22%24direct%22%2C%22u%22%3A%22https%3A%2F%2Factions.singular-innovation.com%2Fsignin%3Fredirect%3D%25252F%22%7D%7D; rl_session=RudderEncrypt%3AU2FsdGVkX19G2WmuxH5ZaEfkSkfe4e2i5iyzrvY4U6jPHxAnaSaY8YaPPAFRADU%2FgEyIFzVE0cEXdOZLTBcsa%2Byoiz3Wng4SqZeqnZu2pr1a%2FT0A6mSwTn%2Bw1Ki5ozJpDTVNg6%2BWfaNDa1LGpWRzCQ%3D%3D",
"sec-ch-ua": "\"Google Chrome\";v=\"131\", \"Chromium\";v=\"131\", \"Not_A Brand\";v=\"24\"",
"x-real-ip": "177.232.86.200",
"connection": "close",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
"cache-control": "max-age=0",
"sec-fetch-dest": "document",
"sec-fetch-mode": "navigate",
"sec-fetch-site": "none",
"sec-fetch-user": "?1",
"accept-encoding": "gzip, deflate, br, zstd",
"accept-language": "es-419,es;q=0.9",
"x-forwarded-for": "177.232.86.200",
"sec-ch-ua-mobile": "?0",
"x-forwarded-proto": "https",
"sec-ch-ua-platform": "\"Windows\"",
"upgrade-insecure-requests": "1"
},
"webhookUrl": "https://actions.singular-innovation.com/webhook-test/centroid",
"executionMode": "test"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "f9c7fa52-264b-4967-ae7a-62247cce7a50",
"connections": {
"32a8aa56-aa7e-4c9e-a39e-f65234224bcf": {
"main": [
[
{
"node": "a020a49a-cc9f-49af-aa95-829d9d16da04",
"type": "main",
"index": 0
}
]
]
},
"a020a49a-cc9f-49af-aa95-829d9d16da04": {
"main": [
[
{
"node": "2f328de6-4ef1-4aac-8838-d616637f4b88",
"type": "main",
"index": 0
}
]
]
},
"2f328de6-4ef1-4aac-8838-d616637f4b88": {
"main": [
[
{
"node": "821bc173-3578-4cf2-9fd7-8ea9cba8dc3f",
"type": "main",
"index": 0
}
]
]
}
}
}이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
중급 - 기타, 빌딩 블록
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
관련 워크플로우 추천
Mauricio Perera
@rckflrAutomation consultant with over 10 years of experience specializing in AI, no-code, and workflow optimization. I’ve delivered tailored AI and NLP solutions across real estate, healthcare, and more, enhancing efficiency and customer experiences. Proficient in tools like Make, Airtable, and Zapier, I also integrate GPT models to create scalable, innovative automations. Contact me to discuss custom n8n workflows or advanced automations to streamline your processes.
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