Dialogar con archivos PDF/MD/texto usando GraphRAG (sin almacenamiento vectorial)
Avanzado
Este es unSupport, AIflujo de automatización del dominio deautomatización que contiene 20 nodos.Utiliza principalmente nodos como Set, Switch, GoogleDrive, HttpRequest, ManualTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Dialogar con archivos PDF/MD/txt usando GraphRAG (sin necesidad de almacenamiento vectorial)
Requisitos previos
- •Credenciales de API de Google Drive
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de OpenAI
Nodos utilizados (20)
Categoría
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"id": "EQVZKxcCDzTNXLRp",
"meta": {
"instanceId": "2a26454b0172ffcb8d70ba77c235b1209f92cd71bf06c79ba609c7173b416d68",
"templateCredsSetupCompleted": true
},
"name": "Chat with PDF / MD / Text Files using GraphRAG (no vector store needed)",
"tags": [
{
"id": "66wgFoDi9Xjl74M3",
"name": "Support",
"createdAt": "2025-05-21T17:06:32.355Z",
"updatedAt": "2025-05-21T17:06:32.355Z"
},
{
"id": "kRM0hQV2zw7VxrON",
"name": "Research",
"createdAt": "2025-05-21T19:44:19.136Z",
"updatedAt": "2025-05-21T19:44:19.136Z"
},
{
"id": "sJk9cUvmMU8FkJXv",
"name": "AI",
"createdAt": "2025-05-20T13:16:15.636Z",
"updatedAt": "2025-05-20T13:16:15.636Z"
}
],
"nodes": [
{
"id": "011910a9-c2a0-49eb-b1eb-8043e0c2accc",
"name": "Buscar en Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
-220,
-120
],
"parameters": {
"filter": {
"folderId": {
"__rl": true,
"mode": "list",
"value": "13tqp0SaI_v4jG1CFLAZo96isx-UBno4v",
"cachedResultUrl": "https://drive.google.com/drive/folders/13tqp0SaI_v4jG1CFLAZo96isx-UBno4v",
"cachedResultName": "GraphRAG"
}
},
"options": {},
"resource": "fileFolder",
"returnAll": true,
"queryString": "*"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "oz9iNMxcuQ2pxr1e",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "22872ac5-14e4-4ea7-b792-30e19a02cb88",
"name": "Iterar sobre elementos",
"type": "n8n-nodes-base.splitInBatches",
"position": [
260,
-120
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "6456b7ac-f936-425a-a0ac-62fe118e985a",
"name": "Recuperar archivo",
"type": "n8n-nodes-base.googleDrive",
"position": [
500,
-80
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "oz9iNMxcuQ2pxr1e",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "8c1f2da9-fff4-457d-bc2e-7c84de3500b3",
"name": "Interruptor",
"type": "n8n-nodes-base.switch",
"position": [
740,
-20
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "pdf",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7b4e792b-ab6d-4b9b-88a1-d8e51bea6853",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "09b7d7c5-5353-4719-b4e2-072e4da39948",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "text/plain"
}
]
},
"renameOutput": true
},
{
"outputKey": "md",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cb2e6726-97d8-4541-8383-deafff9b18e6",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "text/markdown"
}
]
},
"renameOutput": true
},
{
"outputKey": "json",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d2763a45-a592-47c8-868f-59dfcd17a71c",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/json"
}
]
},
"renameOutput": true
},
{
"outputKey": "docs",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0d9b561f-89c5-479e-a4e2-1f5f05fa8417",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "csv",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6b19deed-5d00-4796-bb9d-b4d87564a751",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "csv"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "fe133ad7-bd7a-43e2-91a7-4b3dd2652490",
"name": "Extraer de PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
-240
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "49f89141-a8ea-46c6-888d-cf9dafcc7c2a",
"name": "Extraer de archivo de texto",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
-60
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "a47d8f07-917e-44ed-a69e-5d6085981d36",
"name": "Extraer de Markdown",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1020,
140
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "a2298650-5408-45f8-accf-292ac669002a",
"name": "InfraNodus Guardar en grafo",
"type": "n8n-nodes-base.httpRequest",
"position": [
1480,
200
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndStatements?doNotSave=false&includeGraph=false&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "graphrag_from_google_drive"
},
{
"name": "text",
"value": "={{ $json.data }}"
},
{
"name": "=categories",
"value": "=[filename: {{ $('Switch').item.json.name }}]"
},
{
"name": "contextSettings",
"value": "={{{ \"squareBracketsProcessing\":\"IGNORE_BRACKETS\"} }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "FPDx6PA5CtzGEIQc",
"name": "InfraNodus DeeMeeTree API Key"
}
},
"typeVersion": 4.2
},
{
"id": "bb06d60a-01c7-4a1e-bc7a-901e1f7f175d",
"name": "Nota adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
-480
],
"parameters": {
"color": 4,
"width": 2200,
"height": 980,
"content": "# Step 1: Upload Your PDF / MD / Text Files to InfraNodus GraphRAG\n\n## Copy your PDF files to a Google drive and then upload them to your InfraNodus knowledge graph\n\n### InfraNodus visualizes your text as a knowledge graph, showing the main topics and ideas inside. It also provides API access to the knowledge graph, so you can use it as a knowledge base instead of the complex vector store setup\n\n1. You need an [InfraNodus](https://infranodus.com) account to use this workflow. Get the API key at [https://infranodus.com/api-access](https://infranodus.com/api-access)\n2. Also, specify the **name of the graph** you want to save the files to in the InfraNodus HTTP node\n3. When the workflow finishes running, you can get a visualization of your knowledge base at [https://infranodus.com/your_user_name/your_graph_name/edit](https://infranodus.com/your_user_name/your_graph_name/edit)\n\n\n"
},
"typeVersion": 1
},
{
"id": "38707a4d-b397-43e7-b55c-da18a00bb480",
"name": "Mapear PDF a texto",
"type": "n8n-nodes-base.set",
"position": [
1320,
-100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "fd160009-0b92-46fc-9e34-a1283b810e91",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "49426e56-7d6c-4dc0-a279-348dea59cca2",
"name": "Convertir archivo a PDF",
"type": "n8n-nodes-base.httpRequest",
"disabled": true,
"position": [
1720,
200
],
"parameters": {
"url": "https://v2.convertapi.com/convert/pdf/to/txt",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "file",
"parameterType": "formBinaryData",
"inputDataFieldName": "data"
}
]
},
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/octet-stream"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "mDxLoJUWSmuTJsAC",
"name": "ConvertAPI"
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "5d21b250-7b0f-4925-a858-5aa6badf5700",
"name": "Nota adhesiva5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1680,
-340
],
"parameters": {
"color": 2,
"width": 360,
"height": 840,
"content": "## Optional: Better PDF Conversion\n\n### Standard Map PDF to Text node will split your PDF files into very short chunks, which deteriorates retrieval. \n\nUse can use [ConvertAPI](https://convertapi.com?ref=4l54n) which is a high-quality convertor that will respect the layout of the original document and not cut the paragraphs into short chunks. \n\nHere is an HTTP node that makes a request to their API to convert the PDF into text. If you have a ConvertAPI account, you can replace the \"Map PDF to Text\" node in step 4 with this node. \n"
},
"typeVersion": 1
},
{
"id": "ceda9ea4-963b-4ffb-a741-6e7eb3fc7411",
"name": "Cuando se recibe mensaje de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"disabled": true,
"position": [
-520,
840
],
"webhookId": "a2cfd3b0-aaa4-4003-940d-e520e64830c6",
"parameters": {
"public": true,
"options": {
"title": "Talk to PDFs"
},
"initialMessages": "=Ask any question about the PDFs or write `/question` to generate an interesting question to discuss."
},
"typeVersion": 1.1
},
{
"id": "d78cf21e-753b-44d3-a2b4-493f85aa5129",
"name": "Agentee de IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-240,
840
],
"parameters": {
"options": {
"systemMessage": "You provide information about the topic of user's interest. Always use the knowledge base attached to get the final response. "
}
},
"typeVersion": 1.9
},
{
"id": "02497c8b-89d6-4440-bc4d-d3906b9c4872",
"name": "Modelo de chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-420,
1100
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "07wFa8Wa4mMRCHAj",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.2
},
{
"id": "6d77fb59-fb03-4d22-ac40-4cf9bde25909",
"name": "Memoria simple",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-260,
1100
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "978c8309-380d-4fc8-b238-e0d0148b77b9",
"name": "Base de conocimiento GraphRAG",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
100,
1060
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&addStats=true&optimize=develop&includeStatements=true&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "graphrag_from_google_drive"
},
{
"name": "requestMode",
"value": "response"
},
{
"name": "prompt",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters2_Value', `User query to send to the expert`, 'string') }}"
},
{
"name": "aiTopics",
"value": "true"
}
]
},
"genericAuthType": "httpBearerAuth",
"toolDescription": "You contain knowledge on the topic of user's interst"
},
"credentials": {
"httpBearerAuth": {
"id": "6lSuuSDajZrvI2GM",
"name": "InfraNodus API Key"
}
},
"typeVersion": 4.2
},
{
"id": "b005f83d-3d4a-42c8-b70a-63e267747fcd",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
540
],
"parameters": {
"width": 2200,
"height": 700,
"content": "# Step 2: Chat with your PDF / MD / Text Files using [InfraNodus](https://infranodus.com) Graph RAG Knowledge Base\n\n## InfraNodus is used instead of the vector store. It combines traditional RAG and GraphRAG, providing a better topical overview of your knowledge base and having a better understanding of relations between entities in your documents.\n\n1. Deactivate the trigger node in Step 1 and activate the trigger Chat node here\n2. Provide your API key at [https://infranodus.com/api-access](https://infranodus.com/api-access) to the HTTP agent tool\n3. Specify the same **name of the graph** as in the Step 1, so you query the graph where saved the files. \n4. If you connect several knowledge bases, make sure to describe them well, so the agent knows what to query. Get the description from the InfraNodus Graph > Project Notes > RAG enhancement"
},
"typeVersion": 1
},
{
"id": "6a6ad150-670d-45d5-a69e-0bafaf8f2ac4",
"name": "Haz clic en 'Probar flujo' para ingerir los documentos",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-500,
-120
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0a148a3f-e898-4f83-9ebb-82da7f3f4633",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-540,
100
],
"parameters": {
"width": 680,
"height": 380,
"content": "## [InfraNodus](https://infranodus.com) Knowledege Graph Example\n\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "90ea1bad-6d21-4f20-81b4-0ba48cc7e7fa",
"connections": {
"Switch": {
"main": [
[
{
"node": "fe133ad7-bd7a-43e2-91a7-4b3dd2652490",
"type": "main",
"index": 0
}
],
[
{
"node": "49f89141-a8ea-46c6-888d-cf9dafcc7c2a",
"type": "main",
"index": 0
}
],
[
{
"node": "a47d8f07-917e-44ed-a69e-5d6085981d36",
"type": "main",
"index": 0
}
],
[],
[]
]
},
"6456b7ac-f936-425a-a0ac-62fe118e985a": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"6d77fb59-fb03-4d22-ac40-4cf9bde25909": {
"ai_memory": [
[
{
"node": "Agente de IA",
"type": "ai_memory",
"index": 0
}
]
]
},
"22872ac5-14e4-4ea7-b792-30e19a02cb88": {
"main": [
[],
[
{
"node": "6456b7ac-f936-425a-a0ac-62fe118e985a",
"type": "main",
"index": 0
}
]
]
},
"38707a4d-b397-43e7-b55c-da18a00bb480": {
"main": [
[
{
"node": "a2298650-5408-45f8-accf-292ac669002a",
"type": "main",
"index": 0
}
]
]
},
"fe133ad7-bd7a-43e2-91a7-4b3dd2652490": {
"main": [
[
{
"node": "38707a4d-b397-43e7-b55c-da18a00bb480",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Agente de IA",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"011910a9-c2a0-49eb-b1eb-8043e0c2accc": {
"main": [
[
{
"node": "22872ac5-14e4-4ea7-b792-30e19a02cb88",
"type": "main",
"index": 0
}
]
]
},
"a47d8f07-917e-44ed-a69e-5d6085981d36": {
"main": [
[
{
"node": "a2298650-5408-45f8-accf-292ac669002a",
"type": "main",
"index": 0
}
]
]
},
"49f89141-a8ea-46c6-888d-cf9dafcc7c2a": {
"main": [
[
{
"node": "a2298650-5408-45f8-accf-292ac669002a",
"type": "main",
"index": 0
}
]
]
},
"978c8309-380d-4fc8-b238-e0d0148b77b9": {
"ai_tool": [
[
{
"node": "Agente de IA",
"type": "ai_tool",
"index": 0
}
]
]
},
"a2298650-5408-45f8-accf-292ac669002a": {
"main": [
[
{
"node": "22872ac5-14e4-4ea7-b792-30e19a02cb88",
"type": "main",
"index": 0
}
]
]
},
"ceda9ea4-963b-4ffb-a741-6e7eb3fc7411": {
"main": [
[
{
"node": "Agente de IA",
"type": "main",
"index": 0
}
]
]
},
"6a6ad150-670d-45d5-a69e-0bafaf8f2ac4": {
"main": [
[
{
"node": "011910a9-c2a0-49eb-b1eb-8043e0c2accc",
"type": "main",
"index": 0
}
]
]
}
}
}Preguntas frecuentes
¿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 - Soporte, 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.
Flujos de trabajo relacionados recomendados
Asistente de IA inteligente: conversar con archivos de almacenamiento de Supabase y Google Drive
AIinteligenteasistente：与Supabase存储yGoogle Drive文件对话
If
Set
Wait
+
If
Set
Wait
62 NodosMark Shcherbakov
Ingeniería
Construir un asistente de impuestos con Qdrant, Mistral.ai y OpenAI
Construye un asistente legal fiscal usando Qdrant, Mistral.ai y OpenAI
Set
Wait
Filter
+
Set
Wait
Filter
38 NodosJimleuk
Finanzas
基于AIdeMISagente
基于AIdegestión信息系统agente
If
Set
Code
+
If
Set
Code
129 NodosKumar Shivam
Soporte
Ingesta de archivos de Google Drive a la base de conocimientos de Supabase
Base de conocimientos conversacional interactiva basada en Supabase RAG y GPT-4o-mini
If
Set
Gmail
+
If
Set
Gmail
46 NodosImmanuel
Soporte
Agente de Chatbot de IA: Panel de Expertos con Conocimiento de Gráfico RAG de InfraNodus
Agente de chatbot de IA de panel de expertos que utiliza la tecnología de gráfico de conocimiento GraphRAG de InfraNodus
Agent
Http Request Tool
Chat Trigger
+
Agent
Http Request Tool
Chat Trigger
14 NodosInfraNodus
Soporte
Procesamiento de Documentos RAG Impulsado por IA y Chatbot - Google Drive, Supabase, OpenAI
Procesamiento de documentos RAG y chatbot impulsado por IA basado en Google Drive, Supabase y OpenAI
Set
Code
Limit
+
Set
Code
Limit
35 NodosBilly Christi
Inteligencia Artificial
Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos20
Categoría2
Tipos de nodos13
Descripción de la dificultad
Autor
InfraNodus
@infranodusI'm Dmitry, the founder of InfraNodus — an AI text network analysis tool. I'm passionate about networks and data visualization and its ability to reveal what everyone else is missing and to highlight different perspectives. I'm sharing the n8n templates that make use of this unique capability of InfraNodus for multiple scenarios.
Enlaces externos
Ver en n8n.io →
Compartir este flujo de trabajo