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05 EDI 파일 처리 - 완료됨

고급

이것은AI분야의자동화 워크플로우로, 20개의 노드를 포함합니다.주로 GoogleDrive, ManualTrigger, Agent, ExtractFromFile, LmChatOpenAi 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. Sabre EDI, GPT-4 및 Pinecone RAG 기반 AI 구동 회계 보고서

사전 요구사항
  • Google Drive API 인증 정보
  • OpenAI API Key
  • Pinecone API Key

카테고리

워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "HWsEhnkLn4XfhWIc",
  "meta": {
    "instanceId": "92e36925b2d06addd7a010605535ce53ac105737436355f7e52e2980c726ed3d"
  },
  "name": "05 EDI File Processing - Completed",
  "tags": [
    {
      "id": "oKGIn6U0wpeHShTN",
      "name": "working flow",
      "createdAt": "2025-06-02T06:27:44.762Z",
      "updatedAt": "2025-06-02T06:27:44.762Z"
    }
  ],
  "nodes": [
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      "parameters": {},
      "typeVersion": 1
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    {
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      "parameters": {
        "mode": "insert",
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        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "package1536",
          "cachedResultName": "package1536"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "HqCFDvnsq0D6wXpJ",
          "name": "PineconeApi account 2"
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      "typeVersion": 1.1
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    {
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      "name": "Embeddings OpenAI1",
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    {
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      "parameters": {
        "options": {},
        "operation": "text"
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      "typeVersion": 1
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    {
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      "parameters": {
        "text": "=\nUse the incoming EDI files and generate Account Receivable Report by going throug each file, listing the account receivables for each PNR and the passenger data. \n {{ $json.data }}",
        "options": {
          "systemMessage": "##Role##\nYou are an Accounting and Finance Reporting Expert and you understand the incoming EDI file from which you extract data and compile Accounts Receivable (AR) Summary Report\n\nInstruction:\nRead the incoming EDI file and identify the accounting info and generate accounting receivable report. \nIf there are data that you don't understand, query the pinecone vector database where the complete guidelines is stored for the undersatnding. \nOutput just the table with the data. No need to give a dscription in the begining. \n\nGenerate report in the below tabular format that is extractable in JSON format: \n\n{\n  [\n    {\"passenger\": \"Sergei\", \"fare\": 414, \"tax\": 34.88, \"total\": 448.88}\n  ]\n}\nNote:\nNever ever create your own AR report if in doubt or missing data.\n"
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        "promptType": "define",
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      "position": [
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      "parameters": {
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        "height": 860,
        "content": "## Reports from EDI file\n1. Accounts Receivable (AR) Summary Report\n2. Accounts Payable (AP) Report\n3. Tax and Surcharges Report\n4. Passenger Revenue Report\n5. Daily Sales Report\n6. Uncollected Revenue / Payment Status Report\n7. Commission Report (if applicable)\n8. Audit & Compliance Report\n9. Ticketing Report\n10. Profit Margin Report (if commission & supplier cost known)\n"
      },
      "typeVersion": 1
    },
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            "mode": "list",
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            "cachedResultUrl": "https://drive.google.com/drive/folders/172VdwV-JNLv0H7i7OXRMjYqIshg6ow1O",
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    },
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}
자주 묻는 질문

이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.

이 워크플로우는 어떤 시나리오에 적합한가요?

고급 - 인공지능

유료인가요?

이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

워크플로우 정보
난이도
고급
노드 수20
카테고리1
노드 유형10
난이도 설명

고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

저자
Mohan Gopal

Mohan Gopal

@mohan

B2B and B2C Travel App Consultant. Building AI Agent for Travel Solution.

외부 링크
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카테고리

카테고리: 34