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Usar Bright Data, Gemini y Pinecone para crear un conjunto de datos vectorial listo para IA para LLMs

Avanzado

Este es unBuilding Blocks, AIflujo de automatización del dominio deautomatización que contiene 21 nodos.Utiliza principalmente nodos como Set, HttpRequest, ManualTrigger, Agent, ChainLlm, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Usar Bright Data, Gemini y Pinecone para crear conjuntos de datos vectoriales listos para IA para LLM

Requisitos previos
  • •Pueden requerirse credenciales de autenticación para la API de destino
  • •Clave de API de Google Gemini
  • •Clave de API de Pinecone

Nodos utilizados (21)

Set
StickyNote
HttpRequest
ManualTrigger
Agent
ChainLlm
LmChatGoogleGemini
VectorStorePinecone
InformationExtractor
EmbeddingsGoogleGemini
OutputParserStructured
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

Categoría

Bloques de construcción
Inteligencia Artificial
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
React Flow
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "3Lih0LVosR8dZbla",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "0a468953-e348-420e-a6b3-c55fb20d3cbf",
      "name": "Al hacer clic en 'Probar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        200,
        -710
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "3725e480-246f-4f32-b0a7-b946cacbe830",
      "name": "Agente de IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1236,
        -60
      ],
      "parameters": {
        "text": "=Format the below search result\n\n{{ $json.output.search_result }}",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.8
    },
    {
      "id": "30a12b8e-02f5-4b2e-bf9f-20fd9658405e",
      "name": "Almacén vectorial Pinecone",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        1628,
        -10
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "hacker-news",
          "cachedResultName": "hacker-news"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "wdfRQ6NE8yjCDFhY",
          "name": "PineconeApi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "1738dea6-fa4f-4a8d-a6fb-2f01feb1a6d5",
      "name": "Embeddings Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        1612,
        210
      ],
      "parameters": {
        "modelName": "models/text-embedding-004"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e6443541-de71-4d26-ad58-d7c72868a190",
      "name": "Cargador de datos predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1760,
        220
      ],
      "parameters": {
        "options": {},
        "jsonData": "={{ $('Information Extractor with Data Formatter').item.json.output.search_result }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "09ffc8cd-096f-47fe-937d-f8ab4fb41266",
      "name": "Separador de texto recursivo por caracteres",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1820,
        410
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "90cc9aa4-0931-4c52-8734-e4e0de820205",
      "name": "Modelo de chat Google Gemini 1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1240,
        160
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1090a4af-7e5d-446b-a537-3afe48cd4909",
      "name": "Modelo de chat Google Gemini 2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        -340
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "324c530c-0a03-411e-acb0-d82e9dc635cf",
      "name": "Modelo de chat Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        160
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3226a2d6-ade1-4d6a-95c5-0be4d787a947",
      "name": "Analizador de salida estructurada",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1400,
        160
      ],
      "parameters": {
        "jsonSchemaExample": "[{\n\t\"id\": \"<string>\",\n\t\"title\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"keywords\": [\"\"],\n    \"topics\": [\"\"]\n}]"
      },
      "typeVersion": 1.2
    },
    {
      "id": "a739a314-900a-4ef7-9cc2-1b65374e2e05",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -360
      ],
      "parameters": {
        "width": 480,
        "height": 220,
        "content": "## Note\nPlease make sure to set the URL for web crawling. \n\nWeb-Unlocker Product is being utilized for performing the web scrapping. \n\nThis workflow is utilizing the Basic LLM Chain, Information Extraction with the AI Agents for formatting, extracting and persisting the response in PineCone Vector Database"
      },
      "typeVersion": 1
    },
    {
      "id": "3dca6d46-c423-4fb5-a6e4-c2aa2852d51c",
      "name": "Establecer campos - URL y URL Webhook",
      "type": "n8n-nodes-base.set",
      "notes": "Set the URL which you are interested to scrap the data",
      "position": [
        420,
        -710
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "1c132dd6-31e4-453b-a8cf-cad9845fe55b",
              "name": "url",
              "type": "string",
              "value": "https://news.ycombinator.com?product=unlocker&method=api"
            },
            {
              "id": "90f3272b-d13d-44e2-8b4c-0943648cfce9",
              "name": "webhook_url",
              "type": "string",
              "value": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6"
            }
          ]
        }
      },
      "notesInFlow": true,
      "typeVersion": 3.4
    },
    {
      "id": "216a3261-a398-484c-9bf4-ca5966b829b6",
      "name": "Make una solicitud web",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        640,
        -260
      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "web_unlocker1"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}"
            },
            {
              "name": "format",
              "value": "raw"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "0c74e21c-3007-4297-b6ab-8ee17f4c6436",
      "name": "Formateador de datos estructurados JSON",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        860,
        -560
      ],
      "parameters": {
        "text": "=Format the below response and produce a textual data. Output the response as per the below JSON schema.\n\nHere's the input: {{ $json.data }}\nHere's the JSON schema: \n\n[{\n    \"rank\": { \"type\": \"integer\" },\n    \"title\": { \"type\": \"string\" },\n    \"site\": { \"type\": \"string\" },\n    \"points\": { \"type\": \"integer\" },\n    \"user\": { \"type\": \"string\" },\n    \"age\": { \"type\": \"string\" },\n    \"comments\": { \"type\": \"string\" }\n}]",
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert data formatter"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
      "id": "012d4bb0-2b58-47cd-9cea-b4e0dced9082",
      "name": "Webhook para datos estructurados",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1314,
        -860
      ],
      "parameters": {
        "url": "={{ $json.webhook_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "93b35e5e-6f52-4aeb-8f1b-39cc495beefe",
      "name": "Webhook para respuesta estructurada de agente de IA",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1750,
        -660
      ],
      "parameters": {
        "url": "={{ $json.webhook_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "251b4251-255c-48c6-999b-02227fa2de9b",
      "name": "Nota adhesiva 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -620
      ],
      "parameters": {
        "width": 360,
        "height": 420,
        "content": "## AI Data Formatter\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f62463cd-6be3-4942-a636-de980a3154b4",
      "name": "Nota adhesiva 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1560,
        -160
      ],
      "parameters": {
        "color": 4,
        "width": 520,
        "height": 720,
        "content": "## Vector Database Persistence\n"
      },
      "typeVersion": 1
    },
    {
      "id": "ad20cc91-766a-4a57-be54-6f0d09a784eb",
      "name": "Nota adhesiva 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        -920
      ],
      "parameters": {
        "color": 3,
        "width": 680,
        "height": 440,
        "content": "## Webhook Notification Handler\n"
      },
      "typeVersion": 1
    },
    {
      "id": "37ab5c0f-d36e-4131-844d-20a22d3f2861",
      "name": "Extractor de información con formateador de datos",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        860,
        -60
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert HTML extractor. Your job is to analyze the search result and extract the content as a collection on items"
        },
        "attributes": {
          "attributes": [
            {
              "name": "search_result",
              "description": "Search Response"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e04e189a-8ba9-4ef4-9a49-fc13daf00828",
      "name": "Nota adhesiva 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -160
      ],
      "parameters": {
        "color": 5,
        "width": 720,
        "height": 720,
        "content": "## Data Extraction/Formatting with the AI Agent\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "799fb406-600d-45a5-b926-24b8844f33a5",
  "connections": {
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    "e6443541-de71-4d26-ad58-d7c72868a190": {
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    "1738dea6-fa4f-4a8d-a6fb-2f01feb1a6d5": {
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            "type": "ai_embedding",
            "index": 0
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    "324c530c-0a03-411e-acb0-d82e9dc635cf": {
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    "09ffc8cd-096f-47fe-937d-f8ab4fb41266": {
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}
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 - Bloques de construcción, 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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Nivel de dificultad
Avanzado
Número de nodos21
Categoría2
Tipos de nodos13
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse
Enlaces externos
Ver en n8n.io →

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Recursos Humanos
101
Soporte
97
Nutrición de leads
87
CRM
82
Finanzas
81
Producto
77
Chatbot de soporte
76
Diseño
70
Gestión de tickets
67
Operaciones de seguridad
57
Procesamiento de facturas
53
Comercio de criptomonedas
49
Gestión de archivos
39
Gestión de proyectos
35
Wiki interno
32

Categorías: 34