Automatización del análisis fundamental de acciones por un equipo de IA - Flujo de trabajo de preguntas y respuestas

Avanzado

Este es unAIflujo de automatización del dominio deautomatización que contiene 17 nodos.Utiliza principalmente nodos como Webhook, GoogleDrive, ManualTrigger, RespondToWebhook, LmChatOpenAi, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Automatización del análisis fundamental de acciones por un equipo de IA - Flujo de trabajo de preguntas y respuestas

Requisitos previos
  • Punto final de HTTP Webhook (n8n generará automáticamente)
  • Credenciales de API de Google Drive
  • Clave de API de OpenAI
  • Información de conexión del servidor Qdrant
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": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "01730710-e299-4e66-93e9-6079fdf9b8b7",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2120,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 903.0896125323785,
        "height": 733.5099670584011,
        "content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store.  The response is provided in the response webhook.  "
      },
      "typeVersion": 1
    },
    {
      "id": "66aed89e-fd72-4067-82bf-d480be27e5d6",
      "name": "Al hacer clic en \"Ejecutar flujo de trabajo\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        840,
        140
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        1140,
        140
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "list",
          "value": "1LZezppYrWpMStr4qJXtoIX-Dwzvgehll",
          "cachedResultUrl": "https://drive.google.com/file/d/1LZezppYrWpMStr4qJXtoIX-Dwzvgehll/view?usp=drivesdk",
          "cachedResultName": "crowdstrike.pdf"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "yOwz41gMQclOadgu",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "1dd3d3fd-6c2e-4e23-9c82-b0d07b199de3",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1100,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 772.0680602743597,
        "height": 732.3675002130781,
        "content": "## Step 1: Upserting the PDF\n### Fetch file from Google Drive, split it into chunks and insert into Supabase index\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "4796124f-bc12-4353-b7ea-ec8cd7653e68",
      "name": "Nota adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "color": 6,
        "width": 710.9124489067698,
        "height": 726.4452519516944,
        "content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[![Building an AI Crew to Analyze Financial Data with CrewAI and n8n](https://img.youtube.com/vi/pMvizUx5n1g/sddefault.jpg)](https://www.youtube.com/watch?v=pMvizUx5n1g)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
      "name": "Cargador de datos predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1400,
        320
      ],
      "parameters": {
        "options": {
          "splitPages": true
        },
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "6dd8545d-df8c-49ff-acf6-f8c150723ee8",
      "name": "Recursive Character Text Splitter1",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1400,
        460
      ],
      "parameters": {
        "options": {},
        "chunkSize": 3000,
        "chunkOverlap": 200
      },
      "typeVersion": 1
    },
    {
      "id": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
      "name": "Qdrant Almacén de vectores",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        1480,
        140
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "crowd"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "6136c6fb-3d20-44a7-ab00-6c5671bafa10",
      "name": "Al recibir un mensaje de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "disabled": true,
      "position": [
        2180,
        120
      ],
      "webhookId": "551107fb-b349-4e2b-a888-febe5e282734",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "c970f654-4c79-4637-bec0-73f79a01ab59",
      "name": "Disparador Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        2180,
        320
      ],
      "webhookId": "55b825ad-8987-4618-ae92-d9b08966324b",
      "parameters": {
        "path": "19f5499a-3083-4783-93a0-e8ed76a9f742",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
      "name": "Retrieval QA Cadena",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        2420,
        120
      ],
      "parameters": {
        "text": "={{ $json.chatInput || $json.body.input }}",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 1.5
    },
    {
      "id": "ecf0d248-a8a9-45ed-8786-8864547f79b6",
      "name": "Almacén de vectores Retriever",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
        2580,
        320
      ],
      "parameters": {
        "topK": 5
      },
      "typeVersion": 1
    },
    {
      "id": "4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0",
      "name": "Qdrant Almacén de vectores1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        2540,
        460
      ],
      "parameters": {
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.body.company }}"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "66868422-39c9-4e76-99b9-a77bb613b248",
      "name": "Modelo de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2420,
        340
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f290f809-3b4e-42e3-bfb5-d505566d9275",
      "name": "Incrustaciones OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        2520,
        580
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "c360f7b3-2ae4-4ebd-85ca-f64c3966e65d",
      "name": "Incrustaciones OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1700,
        320
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9223d119-b5a7-40d4-b8da-f85951b52bde",
      "name": "Responder a Disparador Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2840,
        120
      ],
      "parameters": {
        "options": {},
        "respondWith": "text",
        "responseBody": "={{ $json.response.text }}"
      },
      "typeVersion": 1.1
    }
  ],
  "pinData": {},
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Retrieval QA Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9dc8f2a7-eeff-4a35-be52-05c42b71eee4": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Retrieval QA Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI1": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Retrieval QA Chain": {
      "main": [
        [
          {
            "node": "Responder a Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store1": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Store Retriever",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Store Retriever": {
      "ai_retriever": [
        [
          {
            "node": "Retrieval QA Chain",
            "type": "ai_retriever",
            "index": 0
          }
        ]
      ]
    },
    "6136c6fb-3d20-44a7-ab00-6c5671bafa10": {
      "main": [
        [
          {
            "node": "Retrieval QA Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "66aed89e-fd72-4067-82bf-d480be27e5d6": {
      "main": [
        [
          {
            "node": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6dd8545d-df8c-49ff-acf6-f8c150723ee8": {
      "ai_textSplitter": [
        [
          {
            "node": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
            "type": "ai_textSplitter",
            "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 - 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.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos17
Categoría1
Tipos de nodos13
Descripción de la dificultad

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

Autor
Derek Cheung

Derek Cheung

@derekcheungsa

Derek is an engineer, instructor, and investor based in Canada. He is publicly building AI applications to solve real-world problems, leveraging his technical expertise to develop practical solutions.

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34