동적 웹 사이트 도우미와 DeepSeek AI, Pinecone 벡터 라이브러리 및 사이트 기반 라우팅
고급
이것은Support Chatbot, AI RAG분야의자동화 워크플로우로, 33개의 노드를 포함합니다.주로 Switch, Webhook, Agent, RespondToWebhook, EmbeddingsCohere 등의 노드를 사용하며. DeepSeek AI, Pinecone 벡터 라이브러리와 사이트 라우팅 기반 동적 웹 사이트 어시스턴트 통합
사전 요구사항
- •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
- •PostgreSQL 데이터베이스 연결 정보
- •Pinecone API Key
사용된 노드 (33)
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"meta": {
"instanceId": "10695d6c896719a133e4565c83ff18ae1c33cae9d0ca63f232efd9b2ddd0b904"
},
"nodes": [
{
"id": "97996cba-36f9-455e-b02d-c054c9e82f38",
"name": "Postgres 채팅 메모리",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
-980,
2440
],
"parameters": {
"tableName": "n8n_chat_histories_test_3",
"sessionKey": "={{ $('Webhook').item.json.query.userId }}",
"sessionIdType": "customKey"
},
"credentials": {
"postgres": {
"id": "22GVfrWGc7ERSw5X",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "5ae9982c-055e-421a-a47e-320a90f43249",
"name": "OpenRouter 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-1100,
2440
],
"parameters": {
"model": "deepseek/deepseek-chat-v3-0324:free",
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "ryoz2T1DqlynMwW5",
"name": "shahzaib-N"
}
},
"typeVersion": 1
},
{
"id": "208cfefe-77c5-4762-a61c-4dcd31c2e741",
"name": "Pinecone 벡터 저장소5",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-860,
2440
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "Service_Packages_Overview"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "asjdnkjanfkjadnfkan;"
},
"toolDescription": "vector store for: Service Packages Overview"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "cbd466c8-1170-4b1a-83c3-5a61ad5ff34a",
"name": "Cohere 임베딩",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-780,
2640
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "295ee1d6-1083-4ab0-ae19-608504a78ca9",
"name": "Pinecone 벡터 저장소6",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-580,
2440
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "services"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "askclnalkdnclkdsnckj"
},
"toolDescription": "vector store for: services"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "38ff953c-e660-4486-9b6b-754b58ad758c",
"name": "Cohere 임베딩6",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-500,
2640
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "2b6ed992-91ce-4d77-8a2c-c452b3ede109",
"name": "Pinecone 벡터 저장소7",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-300,
2440
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {
"pineconeNamespace": "terms_of_use"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "adlkfncldkanv;kjhv"
},
"toolDescription": "vector store for: terms of use"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "fe4fe472-0e5d-4af2-a28d-91c6aab1b1a6",
"name": "Cohere 임베딩7",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-220,
2640
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "69a71207-a8e3-4b5f-a0ee-fb4873f5bccb",
"name": "Pinecone 벡터 저장소9",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-20,
2440
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "Privacy_Policy"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "lknljoglhgiuyouih"
},
"toolDescription": "vector store for: Privacy Policy"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "525c394f-d6a7-407a-b8f9-b2a8b820e4d4",
"name": "Cohere 임베딩9",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
60,
2640
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "aba9feb6-827f-4cd4-bb11-19af16978f77",
"name": "Pinecone 벡터 저장소10",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
260,
2440
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "refund_policy"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "jansckja;scjkadnpkfpioghpf:mv"
},
"toolDescription": "vector store for: refund policy"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "9201e8ed-0f3c-472c-9ffe-6c5e2179cbb6",
"name": "Cohere 임베딩10",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
340,
2640
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "d25920de-37ba-45b2-ba62-c83a5eeb8bc2",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-1700,
1260
],
"webhookId": "f22b5848-6722-45fb-ba0c-b874f5813b5c",
"parameters": {
"path": "f22b5848-6722-45fb-ba0c-b874f5813b5c",
"options": {},
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "2e8dee88-b656-4790-8db1-ec5b52aff867",
"name": "Webhook 응답",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
620,
2220
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ { \"answer\": $json.output } }}"
},
"typeVersion": 1.4
},
{
"id": "d0bda629-f093-4fe3-84ad-7dbdd4d45aba",
"name": "스위치",
"type": "n8n-nodes-base.switch",
"position": [
-1240,
1260
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "46166ed8-0317-4827-bac9-ae10f04a6218",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.query.site }}",
"rightValue": "test_site"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "719a0de5-0614-443d-aa51-b9ef46ce337d",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.query.site }}",
"rightValue": "test_site2"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "35ab59a1-e2c2-4e67-ad0f-535e1749e6a0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.query.site }}",
"rightValue": "test_site3"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "34822c85-60bf-4dba-8a6b-a770a48d4c46",
"name": "Postgres 채팅 메모리1",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
-340,
680
],
"parameters": {
"tableName": "n8n_chat_histories_test_1",
"sessionKey": "={{ $('Webhook').item.json.query.userId }}",
"sessionIdType": "customKey"
},
"credentials": {
"postgres": {
"id": "22GVfrWGc7ERSw5X",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "d2cd2051-13c5-46d5-8ecd-c68c77489882",
"name": "OpenRouter 채팅 모델1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-460,
680
],
"parameters": {
"model": "deepseek/deepseek-chat-v3-0324:free",
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "PlemUHT1rnkQIP6x",
"name": "api-2"
}
},
"typeVersion": 1
},
{
"id": "45a7d772-1480-4cd0-b254-40c8c440223b",
"name": "Pinecone 벡터 저장소8",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-220,
700
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "ghost_wr"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "amfdnadifakdlncacadf"
},
"toolDescription": "vector store for: Service Packages Overview"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "936e564c-a4af-4a45-b537-5b361af8d0e7",
"name": "Cohere 임베딩8",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-140,
880
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "9ea078f3-48a9-4811-ba34-1f89430e7889",
"name": "Webhook1 응답",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
700,
660
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ { \"answer\": $json.output } }}"
},
"typeVersion": 1.4
},
{
"id": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"name": "Groton 전용 AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-580,
2220
],
"parameters": {
"text": "={{ $('Webhook').item.json.query.query }}",
"options": {
"systemMessage": "=🧑💼 System Prompt: Max — Test Site 2 Assistant\n\nYou are Max, a knowledgeable and professional virtual assistant for {{ $json.query.site }}, currently responding for the “{{ $json.query.page }}” page.\n\n🧠 Purpose\nHelp users with accurate answers specifically related to the services, pricing packages, page-specific offers, publishing policies, and processes listed on {{ $json.query.site }}, using connected Pinecone vector stores as the sole source of truth.\n\n📌 Responsibilities\nOnly respond to questions that fall under the following categories using the appropriate vector store:\n\n📘 Services\nUse the services store\nIncludes all Test Site 2 services such as:\n\nGhostwriting (fiction, nonfiction, memoirs, etc.)\n\nBook editing and proofreading\n\nPublishing on platforms like Amazon, Kindle, Kobo, B&N\n\nBook cover design, illustrations, and typesetting\n\nAuthor collaboration process\n\nMarketing & promotion plans\n\n💼 Packages & Page-Specific Offers\nUse the packages store\nIncludes:\n\nSix pricing tiers from Basic to Bestseller\n\nDetails about included deliverables\n\nPage-specific promotions or discounts (if found)\n\nExtras like cover design, ISBN/barcode, video trailers, domain/hosting, and rights\n\n📝 If the current page (“{{ $json.query.page }}”) has unique offers, bundles, or content, prioritize referencing that information. Highlight sales, limited-time discounts, or features exclusive to that page when present in the data.\n\n📜 Terms & Return Policy\nUse the terms_policy store\nCovers:\n\nModification rights and service refusal\n\nPre-payment expectations\n\nRefund ambiguity or lack of policy\n\nDisclaimers and legal obligations\n\n🔐 Privacy & Confidentiality\nUse the privacy store\nIncludes data handling practices, client confidentiality, information security, and storage protocols throughout the writing and publishing lifecycle.\n\n📞 Contact Information\nUse the contact store\nLists official contact details including:\n\nEmail\n\nPhone\n\nLive chat availability\n\nContact form URL\n\n✅ Guidelines for Response\n\nUnderstand the user's intent and match their question to the correct topic and the current page (\"{{ $json.query.page }}\").\n\nUse only verified vector store content — do not assume or invent.\n\nIf the information is unavailable, reply:\n\n\"I'm unable to find that information in the current records.\"\n\nBe brief, informative, and helpful.\n\n📄 Response Format Rules\n\nUse only plain text (no HTML). You may format with:\n\nbold for emphasis\n\nNumbered or bulleted lists\n\nBlank lines between sections for readability\n\n❌ Do Not Answer\n\n“Can you write a book for me now?”\n\n“What’s your favorite book genre?”\n\n“Who owns Test Site 2?” (unless found in the data)\n\n🖊️ Always end your replies with:\n— max\n\n",
"returnIntermediateSteps": false
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "74fbb2ac-dad5-4294-967a-501b32854f79",
"name": "Ghostwriting Partner AI 에이전트1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-420,
460
],
"parameters": {
"text": "={{ $('Webhook').item.json.query.query }}",
"options": {
"systemMessage": "=🧑💼 System Prompt: Max — Test Site Assistant\n\nYou are Max, a knowledgeable and professional virtual assistant for {{ $json.query.site }}, currently responding for the “{{ $json.query.page }}” page.\n\n🧠 Purpose\nHelp users with accurate answers specifically related to the services, pricing packages, page-specific offers, publishing policies, and processes listed on {{ $json.query.site }}, using connected Pinecone vector stores as the sole source of truth.\n\n📌 Responsibilities\nOnly respond to questions that fall under the following categories using the appropriate vector store:\n\n📘 Services\nUse the services store\nIncludes all Test Site services such as:\n\nGhostwriting (fiction, nonfiction, memoirs, etc.)\n\nBook editing and proofreading\n\nPublishing on platforms like Amazon, Kindle, Kobo, B&N\n\nBook cover design, illustrations, and typesetting\n\nAuthor collaboration process\n\nMarketing & promotion plans\n\n💼 Packages & Page-Specific Offers\nUse the packages store\nIncludes:\n\nSix pricing tiers from Basic to Bestseller\n\nDetails about included deliverables\n\nPage-specific promotions or discounts (if found)\n\nExtras like cover design, ISBN/barcode, video trailers, domain/hosting, and rights\n\n📝 If the current page (“{{ $json.query.page }}”) has unique offers, bundles, or content, prioritize referencing that information. Highlight sales, limited-time discounts, or features exclusive to that page when present in the data.\n\n📜 Terms & Return Policy\nUse the terms_policy store\nCovers:\n\nModification rights and service refusal\n\nPre-payment expectations\n\nRefund ambiguity or lack of policy\n\nDisclaimers and legal obligations\n\n🔐 Privacy & Confidentiality\nUse the privacy store\nIncludes data handling practices, client confidentiality, information security, and storage protocols throughout the writing and publishing lifecycle.\n\n📞 Contact Information\nUse the contact store\nLists official contact details including:\n\nEmail\n\nPhone\n\nLive chat availability\n\nContact form URL\n\n✅ Guidelines for Response\n\nUnderstand the user's intent and match their question to the correct topic and the current page (\"{{ $json.query.page }}\").\n\nUse only verified vector store content — do not assume or invent.\n\nIf the information is unavailable, reply:\n\n\"I'm unable to find that information in the current records.\"\n\nBe brief, informative, and helpful.\n\n📄 Response Format Rules\n\nUse only plain text (no HTML). You may format with:\n\nbold for emphasis\n\nNumbered or bulleted lists\n\nBlank lines between sections for readability\n\n❌ Do Not Answer\n\n“Can you write a book for me now?”\n\n“What’s your favorite book genre?”\n\n“Who owns Test Site?” (unless found in the data)\n\n🖊️ Always end your replies with:\n— max\n\n",
"returnIntermediateSteps": false
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "cb9e515f-1781-423a-a184-27be2517e312",
"name": "Postgres 채팅 메모리2",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
-300,
1740
],
"parameters": {
"tableName": "n8n_chat_histories_test_2",
"sessionKey": "={{ $('Webhook').item.json.query.userId }}",
"sessionIdType": "customKey"
},
"credentials": {
"postgres": {
"id": "22GVfrWGc7ERSw5X",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "a0a2092b-48fc-4926-956a-088c18f2b220",
"name": "OpenRouter 채팅 모델2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-420,
1740
],
"parameters": {
"model": "deepseek/deepseek-chat-v3-0324:free",
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "O16KUlJBPximP3Xr",
"name": "api-1"
}
},
"typeVersion": 1
},
{
"id": "83930ae9-cddb-4fcc-9138-7714395d8d07",
"name": "Pinecone 벡터 저장소11",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-180,
1740
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 6,
"options": {
"pineconeNamespace": "ebook_wr"
},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "adlmcdalkndanfca"
},
"toolDescription": "vector store for: Service Packages Overview"
},
"credentials": {
"pineconeApi": {
"id": "9tbw5SFHSJUFSD9o",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "b847ae7b-7ca9-4641-9768-dbe834f837c8",
"name": "Cohere 임베딩11",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-100,
1940
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "qvaYjXr0djdpaMEQ",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "51d4651e-2dfd-4839-8ca8-2774c8e4cee0",
"name": "Webhook2 응답",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
740,
1720
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ { \"answer\": $json.output } }}"
},
"typeVersion": 1.4
},
{
"id": "62918bc7-7168-40ae-abfa-9dbea1e90d50",
"name": "전자책 작성 AI 에이전트",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-380,
1520
],
"parameters": {
"text": "={{ $('Webhook').item.json.query.query }}",
"options": {
"systemMessage": "=🧑💼 System Prompt: Max — Test Site 2 Assistant\n\nYou are Max, a knowledgeable and professional virtual assistant for {{ $json.query.site }}, currently responding for the “{{ $json.query.page }}” page.\n\n🧠 Purpose\nHelp users with accurate answers specifically related to the services, pricing packages, page-specific offers, publishing policies, and processes listed on {{ $json.query.site }}, using connected Pinecone vector stores as the sole source of truth.\n\n📌 Responsibilities\nOnly respond to questions that fall under the following categories using the appropriate vector store:\n\n📘 Services\nUse the services store\nIncludes all Test Site 2 services such as:\n\nGhostwriting (fiction, nonfiction, memoirs, etc.)\n\nBook editing and proofreading\n\nPublishing on platforms like Amazon, Kindle, Kobo, B&N\n\nBook cover design, illustrations, and typesetting\n\nAuthor collaboration process\n\nMarketing & promotion plans\n\n💼 Packages & Page-Specific Offers\nUse the packages store\nIncludes:\n\nSix pricing tiers from Basic to Bestseller\n\nDetails about included deliverables\n\nPage-specific promotions or discounts (if found)\n\nExtras like cover design, ISBN/barcode, video trailers, domain/hosting, and rights\n\n📝 If the current page (“{{ $json.query.page }}”) has unique offers, bundles, or content, prioritize referencing that information. Highlight sales, limited-time discounts, or features exclusive to that page when present in the data.\n\n📜 Terms & Return Policy\nUse the terms_policy store\nCovers:\n\nModification rights and service refusal\n\nPre-payment expectations\n\nRefund ambiguity or lack of policy\n\nDisclaimers and legal obligations\n\n🔐 Privacy & Confidentiality\nUse the privacy store\nIncludes data handling practices, client confidentiality, information security, and storage protocols throughout the writing and publishing lifecycle.\n\n📞 Contact Information\nUse the contact store\nLists official contact details including:\n\nEmail\n\nPhone\n\nLive chat availability\n\nContact form URL\n\n✅ Guidelines for Response\n\nUnderstand the user's intent and match their question to the correct topic and the current page (\"{{ $json.query.page }}\").\n\nUse only verified vector store content — do not assume or invent.\n\nIf the information is unavailable, reply:\n\n\"I'm unable to find that information in the current records.\"\n\nBe brief, informative, and helpful.\n\n📄 Response Format Rules\n\nUse only plain text (no HTML). You may format with:\n\nbold for emphasis\n\nNumbered or bulleted lists\n\nBlank lines between sections for readability\n\n❌ Do Not Answer\n\n“Can you write a book for me now?”\n\n“What’s your favorite book genre?”\n\n“Who owns Test Site 2?” (unless found in the data)\n\n🖊️ Always end your replies with:\n— max\n\n",
"returnIntermediateSteps": false
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "5a9f31eb-64be-4ec5-88cb-6659b8f0c0a4",
"name": "스티커 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1760,
1200
],
"parameters": {
"height": 220,
"content": "## accepts user input"
},
"typeVersion": 1
},
{
"id": "e1eb851e-63f7-4f88-9891-232e99e9e9b7",
"name": "스티커 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1320,
1160
],
"parameters": {
"height": 260,
"content": "## switch to specific agent according to site"
},
"typeVersion": 1
},
{
"id": "7815d1ed-9ee8-4759-9852-cf83dcfcf2ae",
"name": "스티커 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
220
],
"parameters": {
"width": 660,
"height": 800,
"content": "## 🧠 **AI Agent**\n\nThis node processes the user’s query using:\n- llm from openrouter\n- Pinecone vector search for context-aware answers\n- SQL memory to maintain user-specific context\n- Custom system prompt based on `site` and `page` input values\n\n👉 Dynamically tailors responses per incoming website/page.\n"
},
"typeVersion": 1
},
{
"id": "ea7cf4f1-43c6-477f-b97a-6ffbd1344c1c",
"name": "스티커 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
560
],
"parameters": {
"width": 340,
"height": 260,
"content": "### sends response back to chat"
},
"typeVersion": 1
},
{
"id": "eec68593-92f4-4065-9481-dc63aca01156",
"name": "스티커 노트4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
1500
],
"parameters": {
"width": 2180,
"height": 1540,
"content": "## same goes for remaining agents as above"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"d0bda629-f093-4fe3-84ad-7dbdd4d45aba": {
"main": [
[
{
"node": "74fbb2ac-dad5-4294-967a-501b32854f79",
"type": "main",
"index": 0
}
],
[
{
"node": "62918bc7-7168-40ae-abfa-9dbea1e90d50",
"type": "main",
"index": 0
}
],
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "main",
"index": 0
}
]
]
},
"d25920de-37ba-45b2-ba62-c83a5eeb8bc2": {
"main": [
[
{
"node": "d0bda629-f093-4fe3-84ad-7dbdd4d45aba",
"type": "main",
"index": 0
}
]
]
},
"62918bc7-7168-40ae-abfa-9dbea1e90d50": {
"main": [
[
{
"node": "51d4651e-2dfd-4839-8ca8-2774c8e4cee0",
"type": "main",
"index": 0
}
]
]
},
"cbd466c8-1170-4b1a-83c3-5a61ad5ff34a": {
"ai_embedding": [
[
{
"node": "208cfefe-77c5-4762-a61c-4dcd31c2e741",
"type": "ai_embedding",
"index": 0
}
]
]
},
"38ff953c-e660-4486-9b6b-754b58ad758c": {
"ai_embedding": [
[
{
"node": "295ee1d6-1083-4ab0-ae19-608504a78ca9",
"type": "ai_embedding",
"index": 0
}
]
]
},
"fe4fe472-0e5d-4af2-a28d-91c6aab1b1a6": {
"ai_embedding": [
[
{
"node": "2b6ed992-91ce-4d77-8a2c-c452b3ede109",
"type": "ai_embedding",
"index": 0
}
]
]
},
"936e564c-a4af-4a45-b537-5b361af8d0e7": {
"ai_embedding": [
[
{
"node": "45a7d772-1480-4cd0-b254-40c8c440223b",
"type": "ai_embedding",
"index": 0
}
]
]
},
"525c394f-d6a7-407a-b8f9-b2a8b820e4d4": {
"ai_embedding": [
[
{
"node": "69a71207-a8e3-4b5f-a0ee-fb4873f5bccb",
"type": "ai_embedding",
"index": 0
}
]
]
},
"2836fd6c-c51b-4102-9e9a-35b90ce16c00": {
"main": [
[
{
"node": "2e8dee88-b656-4790-8db1-ec5b52aff867",
"type": "main",
"index": 0
}
]
]
},
"9201e8ed-0f3c-472c-9ffe-6c5e2179cbb6": {
"ai_embedding": [
[
{
"node": "aba9feb6-827f-4cd4-bb11-19af16978f77",
"type": "ai_embedding",
"index": 0
}
]
]
},
"b847ae7b-7ca9-4641-9768-dbe834f837c8": {
"ai_embedding": [
[
{
"node": "83930ae9-cddb-4fcc-9138-7714395d8d07",
"type": "ai_embedding",
"index": 0
}
]
]
},
"97996cba-36f9-455e-b02d-c054c9e82f38": {
"ai_memory": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_memory",
"index": 0
}
]
]
},
"5ae9982c-055e-421a-a47e-320a90f43249": {
"ai_languageModel": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"34822c85-60bf-4dba-8a6b-a770a48d4c46": {
"ai_memory": [
[
{
"node": "74fbb2ac-dad5-4294-967a-501b32854f79",
"type": "ai_memory",
"index": 0
}
]
]
},
"cb9e515f-1781-423a-a184-27be2517e312": {
"ai_memory": [
[
{
"node": "62918bc7-7168-40ae-abfa-9dbea1e90d50",
"type": "ai_memory",
"index": 0
}
]
]
},
"d2cd2051-13c5-46d5-8ecd-c68c77489882": {
"ai_languageModel": [
[
{
"node": "74fbb2ac-dad5-4294-967a-501b32854f79",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"a0a2092b-48fc-4926-956a-088c18f2b220": {
"ai_languageModel": [
[
{
"node": "62918bc7-7168-40ae-abfa-9dbea1e90d50",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"208cfefe-77c5-4762-a61c-4dcd31c2e741": {
"ai_tool": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_tool",
"index": 0
}
]
]
},
"295ee1d6-1083-4ab0-ae19-608504a78ca9": {
"ai_tool": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_tool",
"index": 0
}
]
]
},
"2b6ed992-91ce-4d77-8a2c-c452b3ede109": {
"ai_tool": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_tool",
"index": 0
}
]
]
},
"45a7d772-1480-4cd0-b254-40c8c440223b": {
"ai_tool": [
[
{
"node": "74fbb2ac-dad5-4294-967a-501b32854f79",
"type": "ai_tool",
"index": 0
}
]
]
},
"69a71207-a8e3-4b5f-a0ee-fb4873f5bccb": {
"ai_tool": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_tool",
"index": 0
}
]
]
},
"aba9feb6-827f-4cd4-bb11-19af16978f77": {
"ai_tool": [
[
{
"node": "2836fd6c-c51b-4102-9e9a-35b90ce16c00",
"type": "ai_tool",
"index": 0
}
]
]
},
"83930ae9-cddb-4fcc-9138-7714395d8d07": {
"ai_tool": [
[
{
"node": "62918bc7-7168-40ae-abfa-9dbea1e90d50",
"type": "ai_tool",
"index": 0
}
]
]
},
"74fbb2ac-dad5-4294-967a-501b32854f79": {
"main": [
[
{
"node": "9ea078f3-48a9-4811-ba34-1f89430e7889",
"type": "main",
"index": 0
}
]
]
}
}
}자주 묻는 질문
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?
고급 - 지원 챗봇, AI RAG
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
일반 디지털 장치 지원 어시스턴트
GPT-4-mini와 Pinecone을 사용하여 모든 장치에 AI 지원 어시스턴트를 생성
Set
Webhook
Manual Trigger
+
Set
Webhook
Manual Trigger
18 노드Jah coozi
지원 챗봇
내부 문서 채팅
Ollama, Supabase 벡터 데이터베이스, Google Drive를 사용하여 내부 문서와 대화합니다.
Set
Switch
Webhook
+
Set
Switch
Webhook
29 노드Lakindu Siriwardana
내부 위키
n8n 로컬 AI 에이전트 RAG 템플릿
Ollama AI, 지능형 RAG 대리자와 PGVector를 사용한 로컬 문서 질문 응답 시스템
Set
Switch
Webhook
+
Set
Switch
Webhook
41 노드Jadai kongolo
내부 위키
Supabase를 사용하여 웹사이트에 RAG 채팅 로봇을 구축
사용법 RAG, OpenAI GPT-4o-mini 및 Supabase 벡터 데이터베이스를 사용하여 웹사이트 질문 채팅 로봇 구축
Form Trigger
Html Extract
Http Request
+
Form Trigger
Html Extract
Http Request
18 노드InfyOm Technologies
지원 챗봇
Telegram AI 지원 채팅 로봇(다모드 입력)
GPT-4와 Supabase RAG을 사용하여 다중 모달 Telegram 지원 로봇을 생성합니다.
If
Set
Code
+
If
Set
Code
51 노드Ezema Kingsley Chibuzo
지원 챗봇
dian-memo_03 내보내기
AI 음성 및 텍스트 메모 - LINE 메시지, Supabase 벡터 데이터베이스 및 Gmail 통합
If
Set
Code
+
If
Set
Code
30 노드kote2
AI RAG
