納税申告アシスタントの構築：Qdrant、Mistral.ai、OpenAIを使用
上級
これはFinance, AI分野の自動化ワークフローで、38個のノードを含みます。主にSet, Wait, Filter, Switch, 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。 税務法アシスタントをQdrant、Mistral.ai、OpenAIで構築
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
- •Qdrantサーバー接続情報
使用ノード (38)
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
{
"meta": {
"instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
},
"nodes": [
{
"id": "1bb3c94e-326e-41ca-82e4-102a598dba39",
"name": "「Test workflow」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-320,
300
],
"parameters": {},
"typeVersion": 1
},
{
"id": "751b283b-ea88-4fcd-ace3-3c86631f8876",
"name": "Embeddings Mistral Cloud",
"type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
"position": [
1760,
560
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "f0851949-1036-4040-84df-61295cc5db74",
"name": "デフォルトデータローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1900,
560
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "chapter",
"value": "={{ $('For Each Section...').item.json.chapter }}"
},
{
"name": "section",
"value": "={{ $('For Each Section...').item.json.label }}"
},
{
"name": "=title",
"value": "={{ $('For Each Section...').item.json.title }}"
},
{
"name": "content_order",
"value": "={{ $itemIndex }}"
}
]
}
},
"jsonData": "={{ $json.content }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "41d10b61-9fbe-446e-a65a-0db6e0116e5b",
"name": "再帰的文字テキスト分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1920,
680
],
"parameters": {
"options": {},
"chunkSize": 2000
},
"typeVersion": 1
},
{
"id": "a1ecb096-4d31-4993-b801-ca3f09a9edc7",
"name": "税法コードZIPファイル取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
-20,
340
],
"parameters": {
"url": "https://statutes.capitol.texas.gov/Docs/Zips/TX.pdf.zip",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "cf983315-fe2a-43c1-8dc6-b17a217b845e",
"name": "ZIPファイル展開",
"type": "n8n-nodes-base.compression",
"position": [
140,
340
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "8d02dd80-d14a-4e56-ab40-f2c4a445c57b",
"name": "ファイルアイテム化",
"type": "n8n-nodes-base.splitOut",
"position": [
300,
340
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "$binary"
},
"typeVersion": 1
},
{
"id": "038060dc-e01d-40ae-878d-5043bc36ab91",
"name": "PDFコンテンツ抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
560,
380
],
"parameters": {
"options": {},
"operation": "pdf",
"binaryPropertyName": "=file_{{ $itemIndex }}"
},
"typeVersion": 1
},
{
"id": "4a85003b-b988-467b-b1cb-29206cbed879",
"name": "章から抽出",
"type": "n8n-nodes-base.set",
"position": [
740,
380
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d791928a-d775-48cc-9004-a92cbe2403d3",
"name": "contents",
"type": "array",
"value": "={{\n $json.text\n .substring($json.text.search(/\\nSec\\.\\nA[0-9]{1,4}\\.[0-9]{1,5}\\.AA/), $json.text.length)\n .split(/\\nSec\\.\\nA[0-9]{1,2}\\.[0-9]{1,2}\\.AA/g)\n .filter(text => !text.isEmpty())\n .map(text => {\n const output = text.replaceAll('AA', ' ').replaceAll('\\nA', ' ');\n const title = output.substring(0, output.indexOf('.'));\n const content = output.substring(output.indexOf('.')+1, output.length).replaceAll('\\n', ' ').trim();\n return { title, content };\n })\n}}"
},
{
"id": "bc06641f-0b75-4a35-8752-78803231d5d6",
"name": "labels",
"type": "array",
"value": "={{\n $json.text\n .match(/\\nSec\\.\\nA[0-9]{1,4}\\.[0-9]{1,5}\\.AA/g)\n .map(text => ({\n label: text.replaceAll('AA', ' ')\n .replaceAll('\\nA', ' ')\n .replaceAll('\\n', '')\n .trim()\n }))\n}}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "ee338786-91df-4784-bd7e-f86c0e13ca26",
"name": "セクションへのマッピング",
"type": "n8n-nodes-base.set",
"position": [
740,
520
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "60109e60-d760-45bb-be09-7cb2b5eb85bc",
"name": "section",
"type": "array",
"value": "={{\n $json.labels.map((label, idx) => ({\n label: label.label.match(/\\d.+/)[0].replace(/\\.$/, ''),\n title: $json.contents[idx].title,\n content: $json.contents[idx].content,\n chapter: $('Extract PDF Contents').first().json.info.Title,\n }))\n}}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "41c9899d-26d7-48af-9af2-8563ab0fb7e4",
"name": "ワークフロートリガー実行",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1313,
1200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3a93c19b-09d9-4e38-8b0c-2008fc03f7fc",
"name": "Mistral Embeddings取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
1660,
1060
],
"parameters": {
"url": "https://api.mistral.ai/v1/embeddings",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "mistral-embed"
},
{
"name": "encoding_format",
"value": "float"
},
{
"name": "input",
"value": "={{ $json.query }}"
}
]
},
"nodeCredentialType": "mistralCloudApi"
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 4.2
},
{
"id": "1adc12bd-ba61-4f1a-b1f9-3f19a542e294",
"name": "コンテンツチャンキング @ 50k文字",
"type": "n8n-nodes-base.set",
"position": [
1580,
400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7753a4f4-3ec2-4c05-81df-3d5e8979a478",
"name": "=content",
"type": "array",
"value": "={{ new Array(Math.round($json.content.length / Math.min($json.content.length, 30000))).fill('').map((_,idx) => $json.content.substring(idx * 30000, idx * 50000 + 30000)) }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "ff8adce2-8f73-4a8f-b512-5aa560ca0954",
"name": "チャンク分割",
"type": "n8n-nodes-base.splitOut",
"position": [
1580,
580
],
"parameters": {
"options": {},
"fieldToSplitOut": "content"
},
"typeVersion": 1
},
{
"id": "5f08ce3c-240d-4c91-bb23-953866fd0361",
"name": "各セクションに対して...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1400,
280
],
"parameters": {
"options": {},
"batchSize": 5
},
"typeVersion": 3
},
{
"id": "6346cf67-7d93-4315-bb0d-2e016c9853b9",
"name": "セクションをリスト化",
"type": "n8n-nodes-base.splitOut",
"position": [
940,
380
],
"parameters": {
"options": {},
"fieldToSplitOut": "section"
},
"typeVersion": 1
},
{
"id": "95e34952-03e2-40e3-a245-9da8c9e1f249",
"name": "有効なセクションのみ",
"type": "n8n-nodes-base.filter",
"position": [
1100,
380
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "121e8f86-2ead-47e0-8e17-52d7c6ba8265",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.content }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "dfe1818f-93b7-4116-8a6e-dcb2e6c23fcf",
"name": "Qdrant Search API1使用",
"type": "n8n-nodes-base.httpRequest",
"position": [
1860,
1060
],
"parameters": {
"url": "=http://qdrant:6333/collections/texas_tax_codes/points/search",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "limit",
"value": "={{ 4 }}"
},
{
"name": "vector",
"value": "={{ $json.data[0].embedding }}"
},
{
"name": "with_payload",
"value": "={{ true }}"
}
]
},
"nodeCredentialType": "qdrantApi"
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 4.2
},
{
"id": "588318e6-e188-4d99-9c11-39b2f3fb1c18",
"name": "Qdrant Scroll API使用",
"type": "n8n-nodes-base.httpRequest",
"position": [
1660,
1320
],
"parameters": {
"url": "=http://qdrant:6333/collections/texas_tax_codes/points/scroll",
"method": "POST",
"options": {
"pagination": {
"pagination": {
"parameters": {
"parameters": [
{
"name": "next_page_offset",
"type": "body",
"value": "={{ $response.body.result.next_page_offset }}"
}
]
},
"completeExpression": "={{ $response.body.result.next_page_offset === null }}",
"paginationCompleteWhen": "other"
}
}
},
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "limit",
"value": "={{ 100 }}"
},
{
"name": "with_payload",
"value": "={{ true }}"
},
{
"name": "filter",
"value": "={{\n{\n \"must\": [\n ($json.query.section\n ? { \"key\": \"metadata.section\", \"match\": { \"value\": $json.query.section } }\n : { \"key\": \"metadata.chapter\", \"match\": { \"value\": $json.query.chapter } }\n )\n ]\n}\n}}"
}
]
},
"nodeCredentialType": "qdrantApi"
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 4.2
},
{
"id": "bbf01344-c60e-42b3-8d7d-2bb360876d79",
"name": "検索レスポンス取得",
"type": "n8n-nodes-base.set",
"position": [
1860,
1320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "08ad2d6e-4ed1-409e-b89c-1f0c7fdf1b64",
"name": "response",
"type": "string",
"value": "=---\nchapter: {{ $json.result.points.first().payload.metadata.chapter }}\nsection: {{ $json.result.points.first().payload.metadata.section }}\ntitle: {{ $json.result.points.first().payload.metadata.title }}\n---\n{{ $json.result.points\n .toSorted((a,b) => (a.payload.metadata.content_order || 0) - (b.payload.metadata.content_order || 0))\n .map(point => point.payload.content).join('\\n') }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "3b23ff5e-158a-470f-a262-d001d52feeba",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
183.38345554113084
],
"parameters": {
"color": 7,
"width": 571.4359274276384,
"height": 352.65642339230595,
"content": "## Step 1. Download the Tax Code PDF\n[Read more about handling Zip Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.compression/)\n\nLet's begin by pulling a zip file containing all the tax codes as separate PDF files. We can unzip on the fly with n8n's compression node."
},
"typeVersion": 1
},
{
"id": "02826887-eb26-48a0-928e-fe56ee008425",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
199.87747230655896
],
"parameters": {
"color": 7,
"width": 777.897719182587,
"height": 503.3459981018574,
"content": "## Step 2. Extract and Partition Into Chapters & Sections\n[Learn more about reading PDF Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile)\n\nRather than ingest the raw text of the PDF, we'll be a little more strategic and extract the tax code sections separately instead. Not only will this provide cleaner results, we'll also be able to fetch sections in isolation if required."
},
"typeVersion": 1
},
{
"id": "31a34972-31ab-4b96-9d09-cd30a3b184cf",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
108.82958126396
],
"parameters": {
"color": 7,
"width": 1045.1698686248747,
"height": 771.1260499456115,
"content": "## Step 3. Save into Qdrant VectorStore\n[Read more about using the Qdrant Vectorstore](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\n\nWe'll save our data into a Qdrant collection being mindful to use metadata to take full advantage of Qdrant's filtering capabilities later.\nThough not always required, since the tax code documents can be quite large we'll implement a loop here to throttle the number of tokens being processed as to not trip the Mistral.ai rate limits for embeddings."
},
"typeVersion": 1
},
{
"id": "27039fa6-6388-45ee-a2d5-6bb68554944b",
"name": "Qdrantベクトルストア",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1760,
400
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "texas_tax_codes",
"cachedResultName": "texas_tax_codes"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "5ec16c20-eb1e-454a-8165-594d83dd8711",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
900
],
"parameters": {
"color": 7,
"width": 858.1415560000298,
"height": 513.2269439624808,
"content": "## Step 4. Build a Tax Code Assistant ChatBot\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n\nFor our chatbot, we'll use an AI agent node because we want to achieve more than one functionality. The first will be querying to relevant texts to answer a user's question and secondly, a direct search feature to pull full section text when requested."
},
"typeVersion": 1
},
{
"id": "d5145c6f-768b-42d8-a045-20e045f52b0b",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
904.6076722083936
],
"parameters": {
"color": 7,
"width": 1030.0926850706744,
"height": 577.7854680142904,
"content": "## Step 5. Use Qdrant API as Tools\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n\nOur Ask Tool will generate embeddings using Mistral.ai and query our Qdrant collection using the Qdrant Search API.\nOur Search Tool will use filter our Qdrant collection using the Qdrant Scroll API, matching on each doc's section metadata key."
},
"typeVersion": 1
},
{
"id": "ccf50479-53d8-4edf-8f2b-73060a6a6e0f",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
700,
1063
],
"parameters": {
"options": {
"systemMessage": "You are a helpful assistant answering user questions on the tax code legistration for the state of Texas, united states of america.\n\nAlong with your response also note in which chapter and section number the information was found. "
}
},
"typeVersion": 1.6
},
{
"id": "d7e7fa9e-73ba-4df3-862e-25af63d9d9b4",
"name": "ウィンドウバッファメモリ",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
820,
1223
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "a79bdbcd-7157-470a-aadc-bd3f8a4c40d2",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
420,
1063
],
"webhookId": "db2b118d-942e-4be9-b154-7df887232f97",
"parameters": {
"public": true,
"options": {
"loadPreviousSession": "memory"
},
"initialMessages": ""
},
"typeVersion": 1
},
{
"id": "6046f137-b508-484f-8577-ac51a35eee09",
"name": "ウィンドウバッファメモリ1",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
420,
1223
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "30f238f8-1987-4d6d-b06d-ac2106ea3734",
"name": "OpenAIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
700,
1223
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "8a8490f6-5957-495c-a7af-15cec669f39c",
"name": "1秒",
"type": "n8n-nodes-base.wait",
"position": [
2160,
660
],
"webhookId": "852317f0-aadf-4658-ae44-d05e5de29302",
"parameters": {
"amount": 1
},
"executeOnce": false,
"typeVersion": 1.1
},
{
"id": "142450f5-8ec1-4ae6-b25c-df3233394d4e",
"name": "質問ツール",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
960,
1223
],
"parameters": {
"name": "query_tax_code_knowledgebase",
"fields": {
"values": [
{
"name": "route",
"stringValue": "ask_tool"
}
]
},
"workflowId": "={{ $workflow.id }}",
"description": "Call this tool to query the tax code database for information. Structure your query in the form of a question for best results."
},
"typeVersion": 1.1
},
{
"id": "ee455a4e-c9a1-49b2-a036-d3f3d34099c6",
"name": "検索ツール",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1060,
1223
],
"parameters": {
"name": "get_tax_code_section",
"fields": {
"values": [
{
"name": "route",
"stringValue": "search_tool"
}
]
},
"workflowId": "={{ $workflow.id }}",
"description": "Call this tool to search for specific sections of the tax code document. Pass in either a known section number/id to get the section's text or a known chapter name to return all sections for the chapter.",
"jsonSchemaExample": "{\n\t\"chapter\": \"some_value\",\n \"section\": \"Sec 1.01\"\n}",
"specifyInputSchema": true
},
"typeVersion": 1.1
},
{
"id": "f3240f8d-8869-4088-8e4f-d4e23a3c12a8",
"name": "スイッチ",
"type": "n8n-nodes-base.switch",
"position": [
1473,
1200
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "ask_tool",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "ask_tool"
}
]
},
"renameOutput": true
},
{
"outputKey": "search_tool",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "909362ed-eb97-405c-9f2f-f404a3bfeaf3",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "search_tool"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "71441b5a-099b-49e0-a212-3087d958b38b",
"name": "質問応答取得",
"type": "n8n-nodes-base.set",
"position": [
2060,
1060
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "eb5f2b3c-bb88-4cae-a960-164016c9a9e4",
"name": "response",
"type": "string",
"value": "=|chapter|section|title|content|\n|-|-|-|-|\n{{\n $json.result.map(row => [\n '',\n row.payload.metadata.chapter,\n row.payload.metadata.section,\n row.payload.metadata.title,\n row.payload.content,\n ''\n ].join('|')).join('\\n')\n}}"
}
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}
},
"typeVersion": 3.3
},
{
"id": "54a744a3-95c9-4d9a-b1e7-e266a51f77ca",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 383.14868794462586,
"height": 563.604204119637,
"content": "## Try Me Out!\n### This workflow builds an AI powered Legal assistant who answers questions about tax codes.\n* Download publically available tax code PDFs from the relevant government website.\n* Strategically exact tax code sections and store these in our Qdrant Vectorstore using Mistral.ai embeddings.\n* Use an AI Agent to answer user's tax questions by attaching tools which query our Qdrant vectorstore.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
},
"typeVersion": 1
},
{
"id": "7f802f12-03e0-4b8e-a880-8c26242c1152",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
790.1971986436472,
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],
"parameters": {
"color": 5,
"width": 489.3944544742706,
"height": 131.61363932813174,
"content": "### 🙋♀️What's the difference?\nWith raw PDF data, we may blur the boundaries between chapters and sections making later results hard to find, incoherent or misleading.\nDepending on your use-case, store your data in a way you intend to retrieve it!"
},
"typeVersion": 1
}
],
"pinData": {},
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}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 - 財務, 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38
カテゴリー2
ノードタイプ21
作成者
Jimleuk
@jimleukFreelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk
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