Explorar nodos de n8n en la biblioteca de referencias visuales
Avanzado
Este es unOtherflujo de automatización del dominio deautomatización que contiene 113 nodos.Utiliza principalmente nodos como If, Ftp, Set, Code, Html. Explorar nodos de n8n en la base de referencia visual
Requisitos previos
- •Cuenta de Google y credenciales de API de Gmail
- •Credenciales de API de Twitter
- •Punto final de HTTP Webhook (n8n generará automáticamente)
- •Información de conexión del servidor Redis
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Credenciales de API de Google Sheets
- •Información de conexión de la base de datos PostgreSQL
- •Clave de API de OpenAI
- •Credenciales de API de Google Drive
- •Clave de API de Anthropic
- •Clave de API de Google Gemini
- •Clave de API de Pinecone
- •URL y Clave de API de Supabase
Nodos utilizados (113)
If
Ftp
Set
Code
Html
NoOp
Sort
Wait
Bitly
Gmail
Limit
Merge
Filter
Reddit
Dropbox
Twitter
Webhook
YouTube
DateTime
Markdown
SplitOut
Aggregate
GmailTool
RedisTool
Summarize
GoogleDocs
Pushbullet
RenameKeys
StickyNote
AiTransform
FormTrigger
HttpRequest
RssFeedRead
GmailTrigger
GoogleSheets
PostgresTool
ConvertToFile
EmailReadImap
EmailSendTool
ExecutionData
ManualTrigger
ExecuteCommand
GoogleCalendar
GoogleDocsTool
GumroadTrigger
SplitInBatches
Agent
CalendlyTrigger
ExecuteWorkflow
ExtractFromFile
ScheduleTrigger
OpenAi
GoogleSheetsTool
LocalFileTrigger
RemoveDuplicates
RespondToWebhook
ElevenLabs
ChainLlm
ToolCode
GoogleCalendarTool
GoogleDriveTrigger
GoogleSheetsTrigger
ChatTrigger
ToolSerpApi
Bluesky
LmChatOpenAi
ToolWorkflow
ExecuteWorkflowTrigger
McpClientTool
MemoryManager
ToolWikipedia
TextClassifier
ToolCalculator
Perplexity
LmChatAnthropic
MemoryRedisChat
ToolHttpRequest
ToolVectorStore
ChainRetrievalQa
EmbeddingsOpenAi
ToolWolframAlpha
SentimentAnalysis
ChainSummarization
LmChatGoogleGemini
MemoryBufferWindow
MemoryPostgresChat
VectorStoreInMemory
VectorStorePGVector
VectorStorePinecone
VectorStoreSupabase
InformationExtractor
OutputParserItemList
EmbeddingsGoogleGemini
OutputParserAutofixing
OutputParserStructured
DocumentDefaultDataLoader
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
{
"meta": {
"instanceId": "a144404b9eef9f0b32d0c43312a7a31a5b8a0e1f3be155816313521251b36cbc"
},
"nodes": [
{
"id": "3feeda27-6a9a-4a87-aca4-62dc7a1009dc",
"name": "Agente IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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340
],
"parameters": {
"options": {}
},
"typeVersion": 1.7
},
{
"id": "b9d70ef3-a74a-4588-9d16-95a51995644a",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-780,
580
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": ""
},
"options": {},
"messages": {
"values": [
{}
]
}
},
"credentials": {
"openAiApi": {
"id": "cBDoeZ81f4rgsEu7",
"name": "OpenAI"
}
},
"typeVersion": 1.8
},
{
"id": "e633062d-eae5-4d67-a1b8-d3df5fc87cb3",
"name": "Basic LLM Cadena",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
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340
],
"parameters": {},
"typeVersion": 1.5
},
{
"id": "4b69fa18-4018-4b1c-a4e3-43699c807fca",
"name": "Extractor de información",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
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580
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "c2aaf017-07d2-452c-ba18-cc747e3979d0",
"name": "Question and Answer Cadena",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
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580
],
"parameters": {
"options": {}
},
"typeVersion": 1.4
},
{
"id": "274da45c-d0bd-48d7-9263-78afa308c78b",
"name": "Análisis de sentimiento",
"type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
"position": [
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800
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "03be1fae-4ba5-45a3-a19c-2bb3ee49c6e9",
"name": "Cadena de resumen",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
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],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "f7cadacb-66bd-4fc7-8a5e-06c7fa8493cd",
"name": "Clasificador de texto",
"type": "@n8n/n8n-nodes-langchain.textClassifier",
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],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "835ac56c-1c33-4955-b097-59c15dc58731",
"name": "Chat Memoria Manager",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
-380,
340
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "b03c385e-b4b3-430b-a8d1-629ccc785726",
"name": "Bitly App",
"type": "n8n-nodes-base.bitly",
"position": [
3837,
-1200
],
"parameters": {
"additionalFields": {}
},
"typeVersion": 1
},
{
"id": "73276937-34bc-4943-87c3-1a6d57edac79",
"name": "Dropbox App",
"type": "n8n-nodes-base.dropbox",
"position": [
4277,
-1200
],
"parameters": {
"operation": "download",
"authentication": "oAuth2"
},
"credentials": {
"dropboxOAuth2Api": {
"id": "MS0Kqim8JzWcoeQT",
"name": "Dropbox"
}
},
"typeVersion": 1
},
{
"id": "6a1d1bd1-8c91-4bf2-acbf-c3fac836a3bd",
"name": "Gmail App",
"type": "n8n-nodes-base.gmail",
"position": [
3837,
-980
],
"webhookId": "221627ad-9bc1-4919-b105-6816f8cba493",
"parameters": {
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},
"typeVersion": 2.1
},
{
"id": "e0f92ee0-55b1-468f-9213-b8de41fb7e1c",
"name": "Calendario de Google App",
"type": "n8n-nodes-base.googleCalendar",
"position": [
4277,
-980
],
"parameters": {
"calendar": {
"__rl": true,
"mode": "list",
"value": ""
},
"additionalFields": {}
},
"credentials": {
"googleCalendarOAuth2Api": {
"id": "2RZbxwB5fmEcf6c8",
"name": "Google Calendar - IversusAI"
}
},
"typeVersion": 1.3
},
{
"id": "abf825e0-8401-4e3b-ba3d-471e609706aa",
"name": "Google Docs App",
"type": "n8n-nodes-base.googleDocs",
"position": [
4497,
-980
],
"parameters": {
"operation": "get"
},
"typeVersion": 2
},
{
"id": "e1f1c422-e20c-43b1-8dc9-41fb960a15a5",
"name": "Hojas de Google App",
"type": "n8n-nodes-base.googleSheets",
"position": [
3837,
-760
],
"parameters": {
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "dfwpyu0cnqopqMt7",
"name": "Google Sheets - IversusAI"
}
},
"typeVersion": 4.5
},
{
"id": "bbe5c37f-4c62-43fd-8348-f81ad5b6acbe",
"name": "Pushbullet App",
"type": "n8n-nodes-base.pushbullet",
"position": [
4497,
-760
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d9b3cea5-56c2-4441-b86c-0235ef1797d4",
"name": "YouTube App",
"type": "n8n-nodes-base.youTube",
"position": [
4500,
-540
],
"parameters": {
"options": {},
"resource": "playlist",
"operation": "create"
},
"credentials": {},
"typeVersion": 1
},
{
"id": "4e551552-e81d-4e68-9dcb-129457c7eeee",
"name": "Bluesky App",
"type": "@muench-dev/n8n-nodes-bluesky.bluesky",
"position": [
4057,
-1200
],
"parameters": {},
"typeVersion": 2
},
{
"id": "c4072976-9564-455f-bd5a-d6a90247b967",
"name": "Perplexity App",
"type": "@watzon/n8n-nodes-perplexity.perplexity",
"position": [
4277,
-760
],
"parameters": {
"additionalFields": {}
},
"typeVersion": 1
},
{
"id": "371967ab-a033-401d-a193-4b1d16832cf1",
"name": "ElevenLabs App",
"type": "n8n-nodes-elevenlabs.elevenLabs",
"position": [
4497,
-1200
],
"parameters": {
"voice_id": {
"__rl": true,
"mode": "list",
"value": null
},
"requestOptions": {},
"additionalFields": {}
},
"credentials": {
"elevenLabsApi": {
"id": "fYYTiIvdQpMpZJgy",
"name": "ElevenLabs"
}
},
"typeVersion": 1
},
{
"id": "e058f764-64b2-4253-a097-e8da851ce709",
"name": "Reddit App",
"type": "n8n-nodes-base.reddit",
"position": [
3837,
-540
],
"parameters": {},
"typeVersion": 1
},
{
"id": "623e73b1-6b53-43c4-b95c-ddc0dc67addd",
"name": "Disparador de Gmail App",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
4057,
-980
],
"parameters": {
"filters": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "8cbfb5b3-3b42-4a57-8878-e6a13881f940",
"name": "Hojas de Google Trigger App",
"type": "n8n-nodes-base.googleSheetsTrigger",
"position": [
4057,
-760
],
"parameters": {
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 1
},
{
"id": "cea827e6-c499-494c-b8de-d85f7c6c520d",
"name": "# Green",
"type": "n8n-nodes-base.stickyNote",
"position": [
3620,
-1380
],
"parameters": {
"color": 4,
"width": 1174,
"height": 1074,
"content": "# APP ACTIONS\n\n#### This section contains nodes for interacting with external apps and services like Google Sheets, Telegram, or Notion."
},
"typeVersion": 1
},
{
"id": "151719d4-037d-4b20-acb6-c4c674337bc1",
"name": "# Gray",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
80
],
"parameters": {
"color": 7,
"width": 1174,
"height": 1074,
"content": "# AI TOOLS\n\n#### This section contains tools for use with AI Agents."
},
"typeVersion": 1
},
{
"id": "8a61e929-aeaa-4af5-9a5a-2f69135c486a",
"name": "Call n8n Workflow Herramienta",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
800,
340
],
"parameters": {},
"typeVersion": 2
},
{
"id": "3c4cfce6-e995-4a72-be43-aba8d751ba27",
"name": "Código Tool",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
1020,
340
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "b3c90dbc-f92a-4bbe-ae2c-837ad7fa5196",
"name": "Solicitud HTTP1",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
1240,
540
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "2f382add-25cc-429d-9e7b-b84a4c632150",
"name": "Calculadora",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
600,
340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "583f6982-d6b3-4501-8341-da2b324f11f1",
"name": "Postgres",
"type": "n8n-nodes-base.postgresTool",
"position": [
800,
740
],
"parameters": {
"table": {
"__rl": true,
"mode": "list",
"value": ""
},
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
}
},
"typeVersion": 2.5
},
{
"id": "bd3e5ccf-f21e-425f-b863-4f4b86a550db",
"name": "Redis",
"type": "n8n-nodes-base.redisTool",
"position": [
1020,
740
],
"parameters": {},
"typeVersion": 1
},
{
"id": "f26f5ed9-c782-4aca-affe-3cbf9eac4ae9",
"name": "Enviar correo",
"type": "n8n-nodes-base.emailSendTool",
"position": [
1240,
740
],
"webhookId": "aad16d99-06c6-4ff4-98dc-87e11eac6d10",
"parameters": {
"options": {}
},
"typeVersion": 2.1
},
{
"id": "84f85cc4-6218-4c1b-b0d7-1103deeaa308",
"name": "SerpAPI",
"type": "@n8n/n8n-nodes-langchain.toolSerpApi",
"position": [
600,
940
],
"parameters": {
"options": {}
},
"credentials": {
"serpApi": {
"id": "xonLZy0JUzY1IQ5E",
"name": "SerpAPI"
}
},
"typeVersion": 1
},
{
"id": "17ae5580-caff-43c4-93f5-c7c48a31ac30",
"name": "Wikipedia",
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"position": [
800,
940
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5d9454dc-fcd4-4b72-830f-e54af6a2680f",
"name": "Wolfram Alpha",
"type": "@n8n/n8n-nodes-langchain.toolWolframAlpha",
"position": [
1020,
940
],
"parameters": {},
"typeVersion": 1
},
{
"id": "90bb8301-75fa-477a-8cd1-11d8cb3398e1",
"name": "gmailHerramienta App",
"type": "n8n-nodes-base.gmailTool",
"position": [
1240,
340
],
"webhookId": "287836d6-287e-4488-92a1-b0719a512008",
"parameters": {
"options": {}
},
"typeVersion": 2.1
},
{
"id": "cc712ce4-bb83-4635-8701-27dc5274b2bf",
"name": "googleCalendarHerramienta App",
"type": "n8n-nodes-base.googleCalendarTool",
"position": [
600,
540
],
"parameters": {
"calendar": {
"__rl": true,
"mode": "list",
"value": ""
},
"additionalFields": {}
},
"credentials": {
"googleCalendarOAuth2Api": {
"id": "2RZbxwB5fmEcf6c8",
"name": "Google Calendar - IversusAI"
}
},
"typeVersion": 1.3
},
{
"id": "92738fd9-c1ac-4dd2-a963-ced81df249cd",
"name": "googleDocsHerramienta App",
"type": "n8n-nodes-base.googleDocsTool",
"position": [
800,
540
],
"parameters": {},
"typeVersion": 2
},
{
"id": "4f82cf51-aebe-4914-b1b0-b661a40533a9",
"name": "googleSheetsHerramienta App",
"type": "n8n-nodes-base.googleSheetsTool",
"position": [
1020,
540
],
"parameters": {
"sheetName": {
"__rl": true,
"mode": "list",
"value": ""
},
"documentId": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "dfwpyu0cnqopqMt7",
"name": "Google Sheets - IversusAI"
}
},
"typeVersion": 4.5
},
{
"id": "ce6e07ea-4081-4832-ab5c-58d23638851c",
"name": "# Purple",
"type": "n8n-nodes-base.stickyNote",
"position": [
2020,
80
],
"parameters": {
"color": 6,
"width": 1174,
"height": 1074,
"content": "# VECTOR MEMORY\n\n#### This section contains tools for AI Agents related to memory storage."
},
"typeVersion": 1
},
{
"id": "0c82bae6-54af-45d9-b530-f865460193ce",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
2840,
780
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "f3694575-a9cd-4800-b830-71c9505bcb19",
"name": "Auto-fixing Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
2500,
780
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "bb6da0de-472c-43f5-9b93-c7211493ffbf",
"name": "Answer questions with a vector store",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
2160,
780
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ac10ddbc-81d2-470e-8a19-740da3bbeed8",
"name": "In-Memory Almacén de vectores",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"position": [
2300,
360
],
"parameters": {
"mode": "retrieve-as-tool"
},
"typeVersion": 1
},
{
"id": "382cad17-dfc9-457f-9e68-27eb687ec233",
"name": "Pinecone Almacén de vectores",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
2680,
360
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 1
},
{
"id": "1f4eee34-ebc5-4899-acb9-a140863eca88",
"name": "Postgres PGAlmacén de vectores",
"type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
"position": [
2300,
560
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {}
},
"typeVersion": 1
},
{
"id": "44806f55-b717-4885-b750-37e1655dfc47",
"name": "Supabase Almacén de vectores",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
2680,
560
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": ""
}
},
"typeVersion": 1
},
{
"id": "d5037d83-ea19-42ab-86e7-272c69a47342",
"name": "Modelo de chat Anthropic",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
3880,
340
],
"parameters": {
"options": {}
},
"typeVersion": 1.2
},
{
"id": "b148f82d-8343-4856-aab5-2811ee99a8c4",
"name": "Modelo de chat Google Gemini",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
4140,
340
],
"parameters": {
"options": {}
},
"credentials": {},
"typeVersion": 1
},
{
"id": "27f45f90-7197-4e35-aedd-c158a7af55a7",
"name": "Modelo de chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
4420,
340
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "cBDoeZ81f4rgsEu7",
"name": "OpenAI"
}
},
"typeVersion": 1.1
},
{
"id": "79af5566-476d-45df-9992-5d63050291f3",
"name": "Window Buffer Memoria",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
4420,
700
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "b6182791-6d01-40e9-9510-333dc6307cca",
"name": "Postgres Chat Memoria",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
3880,
700
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "d0047650-53e9-4fe8-849d-83324abca9d3",
"name": "Redis Chat Memoria",
"type": "@n8n/n8n-nodes-langchain.memoryRedisChat",
"position": [
4140,
700
],
"parameters": {},
"typeVersion": 1.4
},
{
"id": "bd5fd081-2c33-4a9f-9b75-6b26304d3f90",
"name": "Item List Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserItemList",
"position": [
4000,
880
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "7f0087cb-9791-4339-baf9-5263f18a25ad",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
4300,
880
],
"parameters": {},
"typeVersion": 1.2
},
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{
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"name": "Incrustaciones OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
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"parameters": {
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},
"typeVersion": 1.2
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{
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"parameters": {
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},
"typeVersion": 1
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{
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"name": "X",
"type": "n8n-nodes-base.twitter",
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{
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{
"id": "d8eaab32-12bd-45c4-ac00-300fdd898de6",
"name": "Disparador de correo (IMAP)",
"type": "n8n-nodes-base.emailReadImap",
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{
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},
"credentials": {
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{
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"options": {}
},
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{
"id": "4c82af95-1614-46a2-8f44-1a32a1ce6087",
"name": "Al recibir mensaje de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
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"name": "Al hacer clic 'Test workflow'",
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{
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"type": "n8n-nodes-base.executeWorkflowTrigger",
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{
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"name": "Disparador de Gmail",
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"type": "n8n-nodes-base.googleSheetsTrigger",
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"parameters": {
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"item": [
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]
},
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"documentId": {
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"name": "# Purple1",
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"parameters": {
"color": 6,
"width": 1274,
"height": 1074,
"content": "# TRIGGERS\n\n#### This section contains all trigger nodes that can start workflow execution."
},
"typeVersion": 1
},
{
"id": "912f97da-0920-46a5-b37b-d5dc6cdfc4c4",
"name": "Código",
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"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
},
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{
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"name": "Edit Fields",
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"assignments": {
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"type": "string",
"value": "Value Test"
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{
"id": "d9658a2c-93a5-48c1-a170-9f8182d5a113",
"name": "Name 1",
"type": "number",
"value": 1
}
]
}
},
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{
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"name": "Filtrar",
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{
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{
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{
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"type": "n8n-nodes-base.summarize",
"position": [
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},
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{
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"name": "Convert to File",
"type": "n8n-nodes-base.convertToFile",
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"operation": "toText"
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"typeVersion": 1.1
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{
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"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
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"operation": "pdf"
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{
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"type": "n8n-nodes-base.html",
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{
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"name": "Markdown",
"type": "n8n-nodes-base.markdown",
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],
"parameters": {
"options": {}
},
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{
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"type": "n8n-nodes-base.renameKeys",
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{
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"name": "Ordenar",
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{
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"width": 1174,
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},
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},
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"name": "Recorrer elementos",
"type": "n8n-nodes-base.splitInBatches",
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"parameters": {
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},
"typeVersion": 3
},
{
"id": "e2623f85-fbbf-4c3e-b8a1-7393b5c10b10",
"name": "Replace Me",
"type": "n8n-nodes-base.noOp",
"notes": "Placeholder node - replace with actual processing node",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "9a347885-e8b6-47c0-bcc6-9b5a9de31630",
"name": "Execute Workflow",
"type": "n8n-nodes-base.executeWorkflow",
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"parameters": {
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{
"id": "535e56d1-dd6d-48b5-a83a-4237b98e6712",
"name": "Esperar",
"type": "n8n-nodes-base.wait",
"position": [
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"webhookId": "34bf5501-158c-43fb-b571-067c2dfaa5fc",
"parameters": {
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"options": {}
},
"typeVersion": 1.1
},
{
"id": "24eb6d34-7812-4c25-9e52-b06a47e1d8fc",
"name": "Ejecutar comando",
"type": "n8n-nodes-base.executeCommand",
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"parameters": {},
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},
{
"id": "fb3342d9-1a40-417a-bc30-641bdc858454",
"name": "Solicitud HTTP",
"type": "n8n-nodes-base.httpRequest",
"position": [
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"parameters": {
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},
"typeVersion": 4.2
},
{
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"type": "n8n-nodes-base.executionData",
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"parameters": {},
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{
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"name": "FTP",
"type": "n8n-nodes-base.ftp",
"position": [
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],
"parameters": {
"protocol": "sftp"
},
"typeVersion": 1
},
{
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"name": "Respond to Disparador Webhook",
"type": "n8n-nodes-base.respondToWebhook",
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],
"parameters": {
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},
"typeVersion": 1.1
},
{
"id": "b31e8cf2-ef95-4183-904a-e426460b6cf0",
"name": "# Red",
"type": "n8n-nodes-base.stickyNote",
"position": [
2020,
-1380
],
"parameters": {
"color": 3,
"width": 1174,
"height": 1074,
"content": "# FLOW & CORE\n\n#### This section contains flow control nodes (branch, merge, or loop workflows) and core functionality nodes (run code, make HTTP requests, accept webhooks)."
},
"typeVersion": 1
},
{
"id": "772785e7-e4e8-46bb-881a-f46535001357",
"name": "RSS Read",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
4060,
-540
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "2bacc070-b61f-413c-9a04-645165e4737e",
"name": "# Red1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1280,
80
],
"parameters": {
"color": 3,
"width": 1274,
"height": 1074,
"content": "# AI AGENTS\n\n#### This section contains all AI related nodes that can attach models, tools and memory."
},
"typeVersion": 1
},
{
"id": "c2b59df8-6327-464d-bb98-29c6df9e521a",
"name": "AI Transform",
"type": "n8n-nodes-base.aiTransform",
"position": [
-700,
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "e9e27f3b-6f85-40d6-ba08-d14e75ee9ebc",
"name": "MCP Client",
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"position": [
600,
740
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9a7807d3-b789-4067-b549-eed5e297e524",
"name": "Nota adhesiva Purple1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2720,
-1380
],
"parameters": {
"color": 7,
"width": 1020,
"height": 1080,
"content": "# WATCH THE n8n STARTER GUIDE 👇\n\n[](https://www.youtube.com/watch?v=It3CkokmodE&list=PL1Ylp5hLJfWeL9ZJ0MQ2sK5y2wPYKfZdE&index=1&pp=gAQBiAQBsAQB)\n\n\n## THE NODE REFERENCE LIBRARY 📖\n\n## This **Node Reference Library** workflow is like a visual map showing many common n8n nodes, grouped by what they do (like Triggers, Data Transformation, AI Agents, etc.). Think of it as a quick visual cheat sheet! 🗺️\n\n## Explore the canvas to get familiar with different node types and see what's possible. ✨\n\n## This resource is provided by [@IversusAI](https://www.youtube.com/@IversusAI) on YouTube! 📺\n"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
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]
},
"AI Agent": {
"main": [
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]
},
"e2623f85-fbbf-4c3e-b8a1-7393b5c10b10": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"e9110354-6b3f-40d4-a42c-2b5fa19cf9f0": {
"main": [
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},
"Basic LLM Chain": {
"main": [
[]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "e2623f85-fbbf-4c3e-b8a1-7393b5c10b10",
"type": "main",
"index": 0
}
]
]
},
"Sentiment Analysis": {
"main": [
[]
]
},
"Summarization Chain": {
"main": [
[]
]
},
"Information Extractor": {
"main": [
[]
]
},
"Question and Answer Chain": {
"main": [
[]
]
}
}
}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 - Otros
¿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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Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos113
Categoría1
Tipos de nodos96
Descripción de la dificultad
Autor
I versus AI
@iversusaiAI tips & tricks that no one else is talking about • Promptcrafting & AI Automating on YT since 2023 • Yes, that's my real voice • She/Her • Voice of https://www.ImagineAI.live
Enlaces externos
Ver en n8n.io →
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