ドキュメントの挿入と検索
上級
これはAI分野の自動化ワークフローで、25個のノードを含みます。主にSet, Code, Html, Limit, SplitOutなどのノードを使用、AI技術を活用したスマート自動化を実現。 Paul Essays、Milvus、OpenAIを使った引用付きRAG QAシステムの構築
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
使用ノード (25)
カテゴリー
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "Hjyv9FkH5Oh6Yxw4",
"meta": {
"instanceId": "2c4c1e23e7b067270c08aab616bada21d0c384d16f212b23cf1143c6baa09219"
},
"name": "Insert and retrieve documents",
"tags": [
{
"id": "msnDWKHQmwMDxWQH",
"name": "Milvus",
"createdAt": "2025-04-16T12:48:14.539Z",
"updatedAt": "2025-04-16T12:48:14.539Z"
},
{
"id": "tnCpo8hq8uKrdASK",
"name": "AI",
"createdAt": "2025-04-16T12:47:57.976Z",
"updatedAt": "2025-04-16T12:47:57.976Z"
}
],
"nodes": [
{
"id": "52044ccd-4e0d-4353-b612-cf8db1b55331",
"name": "ワークフロー実行時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-500,
-100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "b6993775-d21b-4ae8-a59c-43aef2b7002b",
"name": "エッセイ一覧取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
-220,
-100
],
"parameters": {
"url": "http://www.paulgraham.com/articles.html",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "cbaeb236-5c93-4b34-a06b-ff0e5de8525f",
"name": "エッセイ名抽出",
"type": "n8n-nodes-base.html",
"position": [
-20,
-100
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "essay",
"attribute": "href",
"cssSelector": "table table a",
"returnArray": true,
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d92b6692-4a02-4519-b113-8a9172c71de9",
"name": "アイテム分割",
"type": "n8n-nodes-base.splitOut",
"position": [
180,
-100
],
"parameters": {
"options": {},
"fieldToSplitOut": "essay"
},
"typeVersion": 1
},
{
"id": "d16ba71b-10fc-454f-8bfc-a6826280a4e7",
"name": "エッセイ本文取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
580,
-100
],
"parameters": {
"url": "=http://www.paulgraham.com/{{ $json.essay }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "c4fa74ea-6af5-410c-bf5c-9d8d3decf31b",
"name": "最初の3件に制限",
"type": "n8n-nodes-base.limit",
"position": [
380,
-100
],
"parameters": {
"maxItems": 3
},
"typeVersion": 1
},
{
"id": "3da8495b-62df-475d-b99d-e0f3c64266e3",
"name": "テキストのみ抽出",
"type": "n8n-nodes-base.html",
"position": [
900,
-100
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "data",
"cssSelector": "body",
"skipSelectors": "img,nav"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "4a9b5d5d-fc94-40b7-af0c-13d992bc1eb9",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-220
],
"parameters": {
"width": 1071.752021563343,
"height": 285.66037735849045,
"content": "## Scrape latest Paul Graham essays"
},
"typeVersion": 1
},
{
"id": "b8a7a288-186f-4444-b0de-33ed90009c0a",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
-220
],
"parameters": {
"width": 625,
"height": 607,
"content": "## Load into Milvus vector store"
},
"typeVersion": 1
},
{
"id": "c9e7b166-cc65-47e2-a437-9c00017b492a",
"name": "再帰的文字テキスト分割1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1240,
240
],
"parameters": {
"options": {},
"chunkSize": 6000
},
"typeVersion": 1
},
{
"id": "e1a75f27-7c8c-4d0d-9b0f-33fe9ec96fc6",
"name": "応答生成",
"type": "n8n-nodes-base.set",
"position": [
1240,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "11396286-0378-4c3a-86e1-c9ef51afbfc7",
"name": "text",
"type": "string",
"value": "={{ $json.answer }} {{ $if(!$json.citations.isEmpty(), \"\\n\" + $json.citations.join(\"\"), '') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8b3497ad-5bc8-44b3-bdf4-3a028fe265ce",
"name": "引用構成",
"type": "n8n-nodes-base.set",
"position": [
1040,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ace6185e-8b3d-4f89-ae36-dfe0c391a0a9",
"name": "citations",
"type": "array",
"value": "={{ $json.citations.map(i => '[' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata.file_name + ', lines ' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.from'] + '-' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.to'] + ']') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0452cf15-145c-49dd-8803-4c8b8a7adbea",
"name": "チャンクに基づくクエリ回答",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
680,
560
],
"parameters": {
"text": "={{ $json.context }}\n\nQuestion: {{ $('When chat message received').first().json.chatInput }}\nHelpful Answer:",
"options": {
"systemPromptTemplate": "=Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Important: In your response, also include the the indexes of the chunks you used to generate the answer."
},
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"required\": [\"answer\", \"citations\"],\n \"properties\": {\n \"answer\": {\n \"type\": \"string\"\n },\n \"citations\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"number\"\n }\n }\n }\n}"
},
"typeVersion": 1
},
{
"id": "d385ac35-6f94-4101-99de-5ce1991f40c4",
"name": "チャンク準備",
"type": "n8n-nodes-base.code",
"position": [
480,
560
],
"parameters": {
"jsCode": "let out = \"\"\nfor (const i in $input.all()) {\n let itemText = \"--- CHUNK \" + i + \" ---\\n\"\n itemText += $input.all()[i].json.document.pageContent + \"\\n\"\n itemText += \"\\n\"\n out += itemText\n}\n\nreturn {\n 'context': out\n};"
},
"typeVersion": 2
},
{
"id": "379837f2-4f96-43ff-8e87-722cbe6d652f",
"name": "モデル送信最大チャンク数設定",
"type": "n8n-nodes-base.set",
"position": [
-300,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "33f4addf-72f3-4618-a6ba-5b762257d723",
"name": "chunks",
"type": "number",
"value": 4
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "9bc391bb-df47-41df-b170-9df47a6b5e87",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-100,
780
],
"parameters": {
"model": "text-embedding-ada-002",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "hH2PTDH4fbS7fdPv",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "efb030f4-445b-4ba0-b5c9-95e4e5893664",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-540,
560
],
"webhookId": "cd2703a7-f912-46fe-8787-3fb83ea116ab",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "c74943be-0008-4d4c-9dea-598a648a97a2",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
440
],
"parameters": {
"color": 7,
"width": 1594,
"height": 529,
"content": ""
},
"typeVersion": 1
},
{
"id": "2e27f3d8-e8a2-4647-80dd-f2643b224cb5",
"name": "検索用Milvusベクトルストア",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
"position": [
0,
560
],
"parameters": {
"mode": "load",
"topK": 2,
"prompt": "answer the question",
"milvusCollection": {
"__rl": true,
"mode": "list",
"value": "my_collection",
"cachedResultName": "my_collection"
}
},
"credentials": {
"milvusApi": {
"id": "8tMHHoLiWXIAXa7S",
"name": "Milvus account"
}
},
"typeVersion": 1.1
},
{
"id": "a3cf7e0e-f681-4880-9ccf-5c42d5457c0f",
"name": "Milvusベクトルストア",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
"position": [
1120,
-100
],
"parameters": {
"mode": "insert",
"options": {
"clearCollection": true
},
"milvusCollection": {
"__rl": true,
"mode": "list",
"value": "my_collection",
"cachedResultName": "my_collection"
}
},
"credentials": {
"milvusApi": {
"id": "8tMHHoLiWXIAXa7S",
"name": "Milvus account"
}
},
"typeVersion": 1.1
},
{
"id": "4c4cc5a5-e880-466f-a298-4af53a2acbec",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-700,
-260
],
"parameters": {
"width": 280,
"height": 180,
"content": "## Step 1\n1. Set up a Milvus server based on [this guide](https://milvus.io/docs/install_standalone-docker-compose.md). And then create a collection named `my_collection`.\n2. Click this workflow to load scrape and load Paul Graham essays to Milvus collection.\n"
},
"typeVersion": 1
},
{
"id": "18f42da4-42ea-4eb0-9c43-ef8bd31ab7ff",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-680,
460
],
"parameters": {
"height": 120,
"content": "## Step 2\nChat and get citations in response"
},
"typeVersion": 1
},
{
"id": "0af427ed-d901-4192-9fdc-986a63fd585b",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1020,
140
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "hH2PTDH4fbS7fdPv",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "3603852a-bf12-4289-9733-dcd29d12a4f6",
"name": "デフォルトデータローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1160,
120
],
"parameters": {
"options": {},
"jsonData": "={{ $('Extract Text Only').item.json.data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "b49eb3ae-82cb-4d87-8f22-0789b3a14d83",
"name": "OpenAI チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
680,
780
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "hH2PTDH4fbS7fdPv",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "5dc48a1d-aaf0-4052-9666-28f9e76d198c",
"connections": {
"d385ac35-6f94-4101-99de-5ce1991f40c4": {
"main": [
[
{
"node": "0452cf15-145c-49dd-8803-4c8b8a7adbea",
"type": "main",
"index": 0
}
]
]
},
"b6993775-d21b-4ae8-a59c-43aef2b7002b": {
"main": [
[
{
"node": "cbaeb236-5c93-4b34-a06b-ff0e5de8525f",
"type": "main",
"index": 0
}
]
]
},
"c4fa74ea-6af5-410c-bf5c-9d8d3decf31b": {
"main": [
[
{
"node": "d16ba71b-10fc-454f-8bfc-a6826280a4e7",
"type": "main",
"index": 0
}
]
]
},
"8b3497ad-5bc8-44b3-bdf4-3a028fe265ce": {
"main": [
[
{
"node": "e1a75f27-7c8c-4d0d-9b0f-33fe9ec96fc6",
"type": "main",
"index": 0
}
]
]
},
"0af427ed-d901-4192-9fdc-986a63fd585b": {
"ai_embedding": [
[
{
"node": "a3cf7e0e-f681-4880-9ccf-5c42d5457c0f",
"type": "ai_embedding",
"index": 0
}
]
]
},
"3da8495b-62df-475d-b99d-e0f3c64266e3": {
"main": [
[
{
"node": "a3cf7e0e-f681-4880-9ccf-5c42d5457c0f",
"type": "main",
"index": 0
}
]
]
},
"d16ba71b-10fc-454f-8bfc-a6826280a4e7": {
"main": [
[
{
"node": "3da8495b-62df-475d-b99d-e0f3c64266e3",
"type": "main",
"index": 0
}
]
]
},
"b49eb3ae-82cb-4d87-8f22-0789b3a14d83": {
"ai_languageModel": [
[
{
"node": "0452cf15-145c-49dd-8803-4c8b8a7adbea",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"9bc391bb-df47-41df-b170-9df47a6b5e87": {
"ai_embedding": [
[
{
"node": "2e27f3d8-e8a2-4647-80dd-f2643b224cb5",
"type": "ai_embedding",
"index": 0
}
]
]
},
"3603852a-bf12-4289-9733-dcd29d12a4f6": {
"ai_document": [
[
{
"node": "a3cf7e0e-f681-4880-9ccf-5c42d5457c0f",
"type": "ai_document",
"index": 0
}
]
]
},
"cbaeb236-5c93-4b34-a06b-ff0e5de8525f": {
"main": [
[
{
"node": "d92b6692-4a02-4519-b113-8a9172c71de9",
"type": "main",
"index": 0
}
]
]
},
"d92b6692-4a02-4519-b113-8a9172c71de9": {
"main": [
[
{
"node": "c4fa74ea-6af5-410c-bf5c-9d8d3decf31b",
"type": "main",
"index": 0
}
]
]
},
"379837f2-4f96-43ff-8e87-722cbe6d652f": {
"main": [
[
{
"node": "2e27f3d8-e8a2-4647-80dd-f2643b224cb5",
"type": "main",
"index": 0
}
]
]
},
"0452cf15-145c-49dd-8803-4c8b8a7adbea": {
"main": [
[
{
"node": "8b3497ad-5bc8-44b3-bdf4-3a028fe265ce",
"type": "main",
"index": 0
}
]
]
},
"2e27f3d8-e8a2-4647-80dd-f2643b224cb5": {
"main": [
[
{
"node": "d385ac35-6f94-4101-99de-5ce1991f40c4",
"type": "main",
"index": 0
}
]
]
},
"52044ccd-4e0d-4353-b612-cf8db1b55331": {
"main": [
[
{
"node": "b6993775-d21b-4ae8-a59c-43aef2b7002b",
"type": "main",
"index": 0
}
]
]
},
"c9e7b166-cc65-47e2-a437-9c00017b492a": {
"ai_textSplitter": [
[
{
"node": "3603852a-bf12-4289-9733-dcd29d12a4f6",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - 人工知能
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
上級
ノード数25
カテゴリー1
ノードタイプ15
作成者
Cheney Zhang
@zc277584121Algorithm engineer at Zilliz, dedicating to the application of vector databases in the AI ecosystem.
外部リンク
n8n.ioで表示 →
このワークフローを共有