Construir un asistente de impuestos con Qdrant, Mistral.ai y OpenAI
Este es unFinance, AIflujo de automatización del dominio deautomatización que contiene 38 nodos.Utiliza principalmente nodos como Set, Wait, Filter, Switch, SplitOut, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Construye un asistente legal fiscal usando Qdrant, Mistral.ai y OpenAI
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de OpenAI
- •Información de conexión del servidor Qdrant
Nodos utilizados (38)
Categoría
{
"meta": {
"instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
},
"nodes": [
{
"id": "1bb3c94e-326e-41ca-82e4-102a598dba39",
"name": "Al hacer clic en 'Probar flujo de trabajo'",
"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": "Default Data Loader",
"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": "={{ $json.content }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "41d10b61-9fbe-446e-a65a-0db6e0116e5b",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1920,
680
],
"parameters": {
"options": {},
"chunkSize": 2000
},
"typeVersion": 1
},
{
"id": "a1ecb096-4d31-4993-b801-ca3f09a9edc7",
"name": "Obtener archivo ZIP del Código Tributario",
"type": "n8n-nodes-base.httpRequest",
"position": [
-20,
340
],
"parameters": {
"url": "https://statutes.capitol.texas.gov/Docs/Zips/TX.pdf.zip",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "cf983315-fe2a-43c1-8dc6-b17a217b845e",
"name": "Extraer archivos ZIP",
"type": "n8n-nodes-base.compression",
"position": [
140,
340
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "8d02dd80-d14a-4e56-ab40-f2c4a445c57b",
"name": "Files as Items",
"type": "n8n-nodes-base.splitOut",
"position": [
300,
340
],
"parameters": {
"include": "allOtherFields",
"options": {},
"fieldToSplitOut": "$binary"
},
"typeVersion": 1
},
{
"id": "038060dc-e01d-40ae-878d-5043bc36ab91",
"name": "Extraer contenido de PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
560,
380
],
"parameters": {
"options": {},
"operation": "pdf",
"binaryPropertyName": "=file_{{ $itemIndex }}"
},
"typeVersion": 1
},
{
"id": "4a85003b-b988-467b-b1cb-29206cbed879",
"name": "Extraer desde capítulo",
"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": "Mapear a secciones",
"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": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1313,
1200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3a93c19b-09d9-4e38-8b0c-2008fc03f7fc",
"name": "Obtener embeddings de Mistral",
"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": "={{ $json.query }}"
}
]
},
"nodeCredentialType": "mistralCloudApi"
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 4.2
},
{
"id": "1adc12bd-ba61-4f1a-b1f9-3f19a542e294",
"name": "Fragmentación de contenido @ 50k caracteres",
"type": "n8n-nodes-base.set",
"position": [
1580,
400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7753a4f4-3ec2-4c05-81df-3d5e8979a478",
"name": "=content",
"type": "array",
"value": "={{ new Array(Math.round($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": "Dividir fragmentos",
"type": "n8n-nodes-base.splitOut",
"position": [
1580,
580
],
"parameters": {
"options": {},
"fieldToSplitOut": "content"
},
"typeVersion": 1
},
{
"id": "5f08ce3c-240d-4c91-bb23-953866fd0361",
"name": "Para cada sección...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1400,
280
],
"parameters": {
"options": {},
"batchSize": 5
},
"typeVersion": 3
},
{
"id": "6346cf67-7d93-4315-bb0d-2e016c9853b9",
"name": "Secciones a lista",
"type": "n8n-nodes-base.splitOut",
"position": [
940,
380
],
"parameters": {
"options": {},
"fieldToSplitOut": "section"
},
"typeVersion": 1
},
{
"id": "95e34952-03e2-40e3-a245-9da8c9e1f249",
"name": "Solo secciones válidas",
"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": "Usar API de búsqueda Qdrant1",
"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": "Usar Qdrant Scroll API",
"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": "Obtener respuesta de búsqueda",
"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": "Nota adhesiva",
"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": "Nota adhesiva1",
"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": "Nota adhesiva2",
"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": "Almacén vectorial Qdrant",
"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": "Nota adhesiva3",
"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": "Nota adhesiva4",
"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": "Agente de IA",
"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": "Memoria de búfer de ventana",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
820,
1223
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "a79bdbcd-7157-470a-aadc-bd3f8a4c40d2",
"name": "Al recibir mensaje de chat",
"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": "Window Buffer Memory1",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
420,
1223
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "30f238f8-1987-4d6d-b06d-ac2106ea3734",
"name": "Modelo de chat OpenAI",
"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 segundo",
"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": "Herramienta de consulta",
"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": "Herramienta de búsqueda",
"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": "Switch",
"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": "Obtener respuesta de consulta",
"type": "n8n-nodes-base.set",
"position": [
2060,
1060
],
"parameters": {
"options": {},
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"name": "response",
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"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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"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!"
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"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!"
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Finanzas, Inteligencia Artificial
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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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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