Mein Arbeitsablauf 3

• •Google-Konto + Gmail API-Anmeldedaten
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Google Gemini API Key
• •Pinecone API Key

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  "nodes": [
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      "webhookId": "34a4ae98-8eb8-486b-8d7e-dd5fdde15cd5",
      "parameters": {
        "options": {},
        "formTitle": "form which gets multiple files",
        "formFields": {
          "values": [
            {
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              "fieldLabel": "file1",
              "requiredField": true
            },
            {
              "fieldType": "file",
              "fieldLabel": "file2"
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              "fieldLabel": "provide your mail Id",
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      "name": "Über Elemente iterieren1",
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              "leftValue": "={{ $json.status }}",
              "rightValue": "SUCCESS"
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    },
    {
      "id": "4660eef4-de62-4b13-9f51-05000b1afa33",
      "name": "Dokument parsen",
      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "https://api.cloud.llamaindex.ai/api/parsing/upload",
        "method": "POST",
        "options": {
          "redirect": {
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        },
        "sendBody": true,
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      "parameters": {
        "url": "=https://api.cloud.llamaindex.ai/api/parsing/job/{{ $json.id }}",
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      "parameters": {
        "url": "=https://api.cloud.llamaindex.ai/api/parsing/job/{{ $json.id }}/result/markdown",
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      "name": "Google Gemini Chat Model6",
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        "markdown": "={{ $json.output }}",
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      },
      "typeVersion": 1
    },
    {
      "id": "59c33f95-6f8f-4992-8421-dc3a0b668861",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
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      ],
      "webhookId": "35fdc2a2-b8f8-4217-be0b-66ed98a548f1",
      "parameters": {
        "sendTo": "={{ $('On form submission4').item.json['provide your mail Id'] }}",
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      "type": "n8n-nodes-base.code",
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      "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"
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      "typeVersion": 2
    },
    {
      "id": "e8176d99-3625-47a5-8989-80fdce053ba7",
      "name": "In Datei konvertieren",
      "type": "n8n-nodes-base.convertToFile",
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      "parameters": {
        "options": {},
        "operation": "toText",
        "sourceProperty": "textContent"
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      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "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 Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "bd281ef9-bc33-4b3a-9d3f-41d00521b14e",
      "name": "Informationsextraktor",
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      "position": [
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        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 Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
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    },
    {
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      "name": "In Datei konvertieren4",
      "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 Vector Store",
      "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": [
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      ],
      "parameters": {
        "options": {}
      },
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    },
    {
      "id": "3a3332f7-3fda-4898-999e-c5020c0ea02e",
      "name": "Standard-Datenlader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
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      ],
      "parameters": {
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      },
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    },
    {
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      "parameters": {
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    {
      "id": "5e38e72b-390f-433f-a638-522537bf1369",
      "name": "Bei Chatnachricht empfangen",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
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        660
      ],
      "webhookId": "8c5c9e83-f595-4e4b-b45c-544a9a0840c4",
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      "name": "Frage-Antwort-Kette",
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      "position": [
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      ],
      "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}"
        }
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      "typeVersion": 1.5
    },
    {
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      "name": "Google Gemini Chat Model2",
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      ],
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      },
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    },
    {
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      "name": "Vector Store Retriever",
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    },
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      ],
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        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "samuraichamploo",
          "cachedResultName": "samuraichamploo"
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      },
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    },
    {
      "id": "6d289625-ca46-49d7-8ee2-5996dc645ebe",
      "name": "Embeddings Mistral Cloud1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
      "position": [
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      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "dcc8bb20-e5f3-428e-93be-dc4081e1463c",
      "name": "KI-Agent1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -460,
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      ],
      "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 Chat Model3",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -400,
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      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "f5d69ecd-9cdc-4bef-a8ae-7477dfc3f7c7",
      "name": "Haftnotiz",
      "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": "Übersetzungs-Agent",
      "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": "Analyse-Agent",
      "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": "Haftnotiz1",
      "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": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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"
      },
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    }
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