Mi flujo de trabajo 3

Name: Mi flujo de trabajo 3
Rating: 4.5 (10 reviews)
Author: pavith

Avanzado

Este es unOther, AIflujo de automatización del dominio deautomatización que contiene 36 nodos.Utiliza principalmente nodos como If, Code, Gmail, Markdown, Aggregate, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Creación de chatbot para análisis de documentos con Llama Parser, Gemini LLM y Pinecone DB

Requisitos previos

•Cuenta de Google y credenciales de API de Gmail
•Pueden requerirse credenciales de autenticación para la API de destino
•Clave de API de Google Gemini
•Clave de API de Pinecone

Categoría

Otros

Inteligencia Artificial

Vista previa del flujo de trabajo

Visualización de las conexiones entre nodos, con soporte para zoom y panorámica

Al enviar el formulario4

Bucle sobre elementos1

Si2

Agregar1

Google Gemini Modelo de Chat5

Dividir el elemento binario

Analizar el documento

Verificar estado del análisis

Proporcionar el markdown

Google Gemini Modelo de Chat6

Markdown

Gmail

Código

Convertir a archivo

Agente de IA

Google Gemini Modelo de Chat

Extractor de información

Google Gemini Modelo de Chat1

Convertir a archivo4

Pinecone Almacén Vectorial

Embeddings Mistral Cloud

Cargador de datos predeterminado

Divisor de texto recursivo

Al recibir mensaje de chat

Cadena de preguntas y respuestas

Google Gemini Modelo de Chat2

Recuperador de almacén vectorial

Pinecone Almacén Vectorial1

Embeddings Mistral Cloud1

Agente de IA1

Google Gemini Modelo de Chat3

Agente traductor

Agente analizador

React Flow

Exportar flujo de trabajo

Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo

{
  "id": "cGNK44mkCzIh4113",
  "meta": {
    "instanceId": "44c282b5a828cd0d7dda8a13c9168fe32406aaef7e8faa5a847408311387e400"
  },
  "name": "My workflow 3",
  "tags": [],
  "nodes": [
    {
      "id": "4db348cf-bd5a-408e-b212-d75b792460b4",
      "name": "Al enviar el formulario4",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -1720,
        20
      ],
      "webhookId": "34a4ae98-8eb8-486b-8d7e-dd5fdde15cd5",
      "parameters": {
        "options": {},
        "formTitle": "form which gets multiple files",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "file1",
              "requiredField": true
            },
            {
              "fieldType": "file",
              "fieldLabel": "file2"
            },
            {
              "fieldLabel": "provide your mail Id",
              "requiredField": true
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "6a1f197f-310e-4eb1-926f-60cfbae60a49",
      "name": "Bucle sobre elementos1",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -380,
        20
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "7eb210e4-687c-4e9d-b2e7-50d0b85da8dc",
      "name": "Si2",
      "type": "n8n-nodes-base.if",
      "position": [
        700,
        100
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "1edbcd59-130d-4053-9db3-cb8dec068fe0",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.status }}",
              "rightValue": "SUCCESS"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e76b9523-3f87-4ad3-87df-1e4e93ead090",
      "name": "Agregar1",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        0,
        0
      ],
      "parameters": {
        "options": {},
        "fieldsToAggregate": {
          "fieldToAggregate": [
            {
              "fieldToAggregate": "markdown"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "21234dcf-52dc-4ae0-975e-36a1a18ed456",
      "name": "Google Gemini Modelo de Chat5",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1060,
        180
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "52fcaca7-c49d-4004-96a3-0094ed0e510f",
      "name": "Dividir el elemento binario",
      "type": "n8n-nodes-base.code",
      "position": [
        -1000,
        20
      ],
      "parameters": {
        "jsCode": "// Get the input data\nconst items = $input.all()\n\n// Initialize an array to hold the split items\nconst splitItems = [];\n\n// Iterate over each item\nitems.forEach(item => {\n  // Check if the item has binary data\n  if (item.binary) {\n    // Iterate over each binary field\n    for (const [key, value] of Object.entries(item.binary)) {\n      // Create a new item for each binary file\n      splitItems.push({\n        json: {},\n        binary: {\n          data: value\n        }\n      });\n    }\n  }\n});\n\n// Return the split items\nreturn splitItems;"
      },
      "typeVersion": 2,
      "alwaysOutputData": true
    },
    {
      "id": "4660eef4-de62-4b13-9f51-05000b1afa33",
      "name": "Analizar el documento",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        260,
        100
      ],
      "parameters": {
        "url": "https://api.cloud.llamaindex.ai/api/parsing/upload",
        "method": "POST",
        "options": {
          "redirect": {
            "redirect": {}
          }
        },
        "sendBody": true,
        "contentType": "multipart-form-data",
        "sendHeaders": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "=file",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "=data"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "accept",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "Bearer $secret token"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "07e76215-b9d4-4adb-b8f3-f8c8615abb56",
      "name": "Verificar estado del análisis",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        480,
        100
      ],
      "parameters": {
        "url": "=https://api.cloud.llamaindex.ai/api/parsing/job/{{ $json.id }}",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "accept",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "Bearer $secret token"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3909a632-7002-4d60-a53b-3f73e4958c27",
      "name": "Proporcionar el markdown",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1180,
        400
      ],
      "parameters": {
        "url": "=https://api.cloud.llamaindex.ai/api/parsing/job/{{ $json.id }}/result/markdown",
        "options": {},
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "accept",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "Bearer $secret token"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "89c25b95-8bc6-4bb5-82d2-1f870416c4af",
      "name": "Google Gemini Modelo de Chat6",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1600,
        300
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "8ddf6e94-6da0-4ef9-a6dc-0db8967914a6",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        2140,
        0
      ],
      "parameters": {
        "mode": "markdownToHtml",
        "options": {},
        "markdown": "={{ $json.output }}",
        "destinationKey": "html"
      },
      "typeVersion": 1
    },
    {
      "id": "59c33f95-6f8f-4992-8421-dc3a0b668861",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        4540,
        0
      ],
      "webhookId": "35fdc2a2-b8f8-4217-be0b-66ed98a548f1",
      "parameters": {
        "sendTo": "={{ $('On form submission4').item.json['provide your mail Id'] }}",
        "message": "=Hi user,\nThe below document contains the detailed analysis of the provided document.\n\nYou can also use the below link to interact with the assistant regarding your doubts on the analysis\nhttps://pavithranvh28.app.n8n.cloud/webhook/8c5c9e83-f595-4e4b-b45c-544a9a0840c4/chat\n\n\n",
        "options": {
          "attachmentsUi": {
            "attachmentsBinary": [
              {}
            ]
          }
        },
        "subject": "Analysis of the documents provided",
        "emailType": "text"
      },
      "typeVersion": 2.1
    },
    {
      "id": "b9bb8338-d52e-4f5b-bd2f-d517851b6014",
      "name": "Código",
      "type": "n8n-nodes-base.code",
      "position": [
        3200,
        0
      ],
      "parameters": {
        "jsCode": "const items = $input.first().json.html;\n\n// Ensure items is an array\nconst htmlArray = Array.isArray(items) ? items : [items];\n\nfunction htmlToFormattedText(html) {\n    // Replace heading tags (h1-h6) with bold text\n    html = html.replace(/<h[1-6]>(.*?)<\\/h[1-6]>/gi, \"\\n**$1**\\n\");\n\n    // Replace paragraph tags with spacing\n    html = html.replace(/<p>(.*?)<\\/p>/gi, \"\\n$1\\n\");\n\n    // Replace line breaks with newline characters\n    html = html.replace(/<br\\s*\\/?>/gi, \"\\n\");\n\n    // Remove all other HTML tags\n    html = html.replace(/<[^>]+>/g, \"\").trim();\n\n    // Remove extra newlines\n    return html.replace(/\\n{2,}/g, \"\\n\").trim();\n}\n\nconst updatedItems = htmlArray.map((item) => {\n    const htmlContent = item?.json?.html || item;\n    const textContent = htmlToFormattedText(htmlContent);\n    return { textContent };\n});\n\nreturn updatedItems;\n"
      },
      "typeVersion": 2
    },
    {
      "id": "e8176d99-3625-47a5-8989-80fdce053ba7",
      "name": "Convertir a archivo",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        3840,
        0
      ],
      "parameters": {
        "options": {},
        "operation": "toText",
        "sourceProperty": "textContent"
      },
      "typeVersion": 1.1
    },
    {
      "id": "9fb1a6a0-c49f-48f5-93bc-f0c6e9b8a138",
      "name": "Agente de IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        2600,
        460
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "options": {
          "systemMessage": "You are a helpful assistant.\nObjective:\nThe agent must process the input content to enhance readability, apply structured formatting, and bold necessary text elements while preserving the original meaning.\n\nProcessing Rules:\nApply Text Formatting:\n\nConvert any text enclosed with * (asterisks) into bold.\nStructurize the Content:\n\nOrganize the content using clear section headers.\nSeparate sections with line breaks for readability.\nEnsure proper indentation and bullet point usage for clarity.\nMaintain Clarity & Coherence:\n\nReformat the text without changing the core meaning.\nRemove redundancy while ensuring key details remain intact.\nText File Compatibility:\n\nResponse NEEDS TO BE A TEXT FILE"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "9995921a-ca41-40c5-9159-350908ca8213",
      "name": "Google Gemini Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        2780,
        740
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "bd281ef9-bc33-4b3a-9d3f-41d00521b14e",
      "name": "Extractor de información",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        2820,
        880
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "options": {
          "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
        },
        "attributes": {
          "attributes": [
            {
              "name": "Project Overview",
              "description": "overview of the content extracted"
            },
            {
              "name": "System and prerequisites",
              "description": "=which contains the information about the system and the prerequisites needed"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2f1c4efb-6885-48c9-b2a6-a13d2e9b4f66",
      "name": "Google Gemini Modelo de Chat1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        3140,
        1100
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "b7a0276a-d253-43a8-a7f3-fb3b83599d7f",
      "name": "Convertir a archivo4",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1840,
        740
      ],
      "parameters": {
        "options": {},
        "operation": "toText",
        "sourceProperty": "output"
      },
      "typeVersion": 1.1
    },
    {
      "id": "7441e1ff-1966-4535-abaa-ee565db787de",
      "name": "Pinecone Almacén Vectorial",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        2080,
        980
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "samuraichamploo",
          "cachedResultName": "samuraichamploo"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "82d9d9fb-6f8c-4c86-9287-d5e7e73f58a7",
      "name": "Embeddings Mistral Cloud",
      "type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
      "position": [
        2140,
        1200
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "3a3332f7-3fda-4898-999e-c5020c0ea02e",
      "name": "Cargador de datos predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        2240,
        1280
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "4a625913-5c98-4075-9022-058e863af326",
      "name": "Divisor de texto recursivo",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        2320,
        1460
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "5e38e72b-390f-433f-a638-522537bf1369",
      "name": "Al recibir mensaje de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -1820,
        660
      ],
      "webhookId": "8c5c9e83-f595-4e4b-b45c-544a9a0840c4",
      "parameters": {
        "public": true,
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "77ea1fd6-73a9-42f6-835f-b945ce7fd294",
      "name": "Cadena de preguntas y respuestas",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        -1400,
        680
      ],
      "parameters": {
        "options": {
          "systemPromptTemplate": "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question.\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n----------------\nContext: {context}"
        }
      },
      "typeVersion": 1.5
    },
    {
      "id": "d71b0efe-7e27-44f8-beb4-370c02ef1d5f",
      "name": "Google Gemini Modelo de Chat2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -1380,
        1020
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "eb967c9d-415f-4992-bacd-517b7dddd6bf",
      "name": "Recuperador de almacén vectorial",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
        -1220,
        900
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "690eacb5-1d47-430b-8914-4c474833be0b",
      "name": "Pinecone Almacén Vectorial1",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        -900,
        1060
      ],
      "parameters": {
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "samuraichamploo",
          "cachedResultName": "samuraichamploo"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "6d289625-ca46-49d7-8ee2-5996dc645ebe",
      "name": "Embeddings Mistral Cloud1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
      "position": [
        -780,
        1460
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "dcc8bb20-e5f3-428e-93be-dc4081e1463c",
      "name": "Agente de IA1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -460,
        680
      ],
      "parameters": {
        "text": "={{ $json.response }}",
        "options": {
          "systemMessage": "You are a helpful assistant.rephrase the prompt provided and Provide ONLY the response in a text format"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "777b4e63-7a0a-42fa-9069-83ab006e19a9",
      "name": "Google Gemini Modelo de Chat3",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -400,
        980
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "f5d69ecd-9cdc-4bef-a8ae-7477dfc3f7c7",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1900,
        440
      ],
      "parameters": {
        "width": 360,
        "content": "## I'm a note \nThe below workflow is a chatbot workflow which will be triggered when a user types his/her prompt related to document the user provided for analysis on the chatbot link which was ent to the user via mail."
      },
      "typeVersion": 1
    },
    {
      "id": "7140d564-a636-4937-b2c6-811b48dde851",
      "name": "Agente traductor",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1060,
        0
      ],
      "parameters": {
        "text": "={{ $('Aggregate1').item.json.markdown }}",
        "options": {
          "systemMessage": "You are a helpful assistant. Kindly check the prompt fed and  find the language of the  prompt you receive  and if the prompt is in other language except english translate it and provide that as a response and also ATTACH THE REMAINING PROMPT WHICH IS IN ENGLISH WITH THE RESPONSE"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "496d49f1-5b7f-48ab-b759-2facd8fade8d",
      "name": "Agente analizador",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1420,
        0
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "options": {
          "systemMessage": "=You are a helpful assistant. \n1️⃣ Comprehensive Prompt Analysis\n\nCarefully examine the entire prompt provided by the user.\nEnsure all details are considered before formulating a response.\n2️⃣ Interactive and Clear Breakdown\n\nStructure the response in a well-organized manner with clear topic separation.\nPresent insights in a way that enhances understanding and usability.\n3️⃣ Duplicate Check and Handling\n\nIdentify and highlight any repeated information within the prompt.\nIf duplicates exist, consolidate the relevant details to avoid redundancy.\n4️⃣ Reliable and Actionable Resolutions\n\nProvide resolutions that are dependable and practical.\nEnsure the solutions align with the context and user’s intent.\nWhere applicable, offer alternative approaches for flexibility.\nAlso make sure not to add too much of star or hash to indicate the difference"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "4218f320-c580-41ae-91ca-134bd2cc8128",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2880,
        640
      ],
      "parameters": {
        "content": "## I'm a note \nThese two subflows are for trial purpose"
      },
      "typeVersion": 1
    },
    {
      "id": "bc0a3e52-1259-4651-bbe4-9ba727d8e46a",
      "name": "Nota adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1420,
        700
      ],
      "parameters": {
        "content": "## I'm a note \nThis subflow is responsible for storing the translated as well as the analyzed contents into the vector database to feed as a knowledge to the chatbot"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
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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 - Otros, 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.