文档代理模板
高级
这是一个Document Extraction, AI Chatbot领域的自动化工作流，包含 36 个节点。主要使用 If, Set, Code, Switch, GoogleDrive 等节点。 使用Gemini和Google Drive从模板创建自定义PDF文档
前置要求
- •Google Drive API 凭证
- •可能需要目标 API 的认证凭证
- •Google Gemini API Key
- •PostgreSQL 数据库连接信息
使用的节点 (36)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "94ZTfrnyRHFV3xxr",
"meta": {
"instanceId": "a0abdc0b77c415ea268f7f162cb1411f29a01e7656935f2ebce0ae66e8df8e13"
},
"name": "文档代理模板",
"tags": [],
"nodes": [
{
"id": "d6dae967-cee4-4c8b-9f80-a1eb8279b2a0",
"name": "Google Gemini聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-20,
300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "M4luDvdaNUQojgwm",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "514e6233-fe2d-4031-9ea6-ad046d2d1479",
"name": "获取元数据",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
420,
300
],
"parameters": {
"url": "https://script.google.com/macros/s/<YOUR_DEPLOY_ID>/exec",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"queryParameters": {
"parameters": [
{
"name": "mode",
"value": "meta"
},
{
"name": "id",
"value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters1_Value', `The id of the template requested by the user comes here.`, 'string') }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
},
"nodeCredentialType": "googleDriveOAuth2Api"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "G5mimUj7FOKYpMol",
"name": "Google Drive-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "c2d0ed01-0b5f-4e92-89a1-c140990b6998",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-60,
-20
],
"webhookId": "6c3d3341-4e58-40c9-b399-96c67481ed4a",
"parameters": {
"public": true,
"options": {},
"initialMessages": "Merhaba! 👋\nMy name is DocAgent. "
},
"typeVersion": 1.1
},
{
"id": "74c575a0-6523-47d5-834e-a0c388d06676",
"name": "文档代理",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
-20
],
"parameters": {
"options": {
"systemMessage": "=You are “Legal-Doc Agent”, an expert that drafts professional Turkish\ndocuments from fixed Google Docs templates.\n\n<templateCatalog>\n{{ YOUR_MANUAL_TO_ADD_TEMPLATE_LIST }}\n</templateCatalog> \n\n#TOOLS AND USAGE RULES\nGetMetaData(id) → { placeholders\\[], conditionals\\[] }\nDocProcess(user_choice_name, user_choice_id, data{}) → \n\n(Call a tool by replying ONLY with\n{\"tool\":\"ToolName\",\"params\":{...}} )\n\n\n#FLOW\nstep-1 Determine which document in the templateCatalog the user wants to create.\nstep-2 Call GetMetaData with the identified id. \n → You get back:\n • metadata.placeholders (global/static placeholders)\n • metadata.conditionals[] (each has flag, label, help, placeholders[])\n\nstep-3 Request the necessary information from the user:\n a) For each name in metadata.placeholders, ask “What is <PLACEHOLDER>? ”\n b) For each item in metadata.conditionals:\n i. Ask “Would you like to include the <label> section? <help>”\n ii. Record in blocks[KEY].include = true/false\n iii. If include===true, then for each p in placeholders[] ask “What is <p>? ”\n → Build up a `data` object:\n {\n /* static values from 3a */,\n blocks: {\n KEY1: { include: true, P1: val1, P2: val2… },\n KEY2: { include: false },\n …\n }\n }\n\nstep-4 After collecting all the required information, submit the information provided by the user to the user for approval as a whole.\nstep-5 Using the `docId` and that `data` object, call the DocProcess (FillDocument) tool.\n\nstep-6 If there are no errors, return the new document’s download URL (or ID) to the user indicating success.\n\n\n#STYLE\n• Speak concise, formal Turkish.\n• Never guess data; always ask.\n• Only tool-call messages may contain JSON blocks.\n\n#RULES\nWhen calling DocProcess, DO NOT CHANGE/TRANSLATE the placeholder names and conditional flag names/structure returned by GetMetaData. Only place the answers you obtained from the user next to them.\n"
}
},
"retryOnFail": true,
"typeVersion": 2
},
{
"id": "753c8e8c-18f3-4a54-80a5-af1b5256a656",
"name": "文档处理",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
600,
300
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "id",
"value": "<YOUR_WORKFLOW_ID>"
},
"description": "调用此工具进行文档处理",
"workflowInputs": {
"value": {
"data": "={{ $fromAI('data') }}",
"user_choice_id": "={{ $fromAI('user_choice_id') }}",
"user_choice_name": "={{ $fromAI('user_choice_name') }}"
},
"schema": [
{
"id": "user_choice_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "user_choice_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "user_choice_id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "user_choice_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "data",
"type": "object",
"display": true,
"removed": false,
"required": false,
"displayName": "data",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.2
},
{
"id": "25b8e0ed-90ed-4e14-a042-a36a2cb6ec15",
"name": "Postgres 聊天记忆",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
200,
300
],
"parameters": {},
"credentials": {
"postgres": {
"id": "S6crn2oCuGjvhvVO",
"name": "DocAgentMemory"
}
},
"typeVersion": 1.3
},
{
"id": "806c4fa9-6276-4066-b2ca-f0432c4ef228",
"name": "模板列表",
"type": "n8n-nodes-base.httpRequest",
"position": [
-500,
440
],
"parameters": {
"url": "https://www.googleapis.com/drive/v3/files?q='%3CYOUR_PARENT_ID%3E'+in+parents+and+trashed=false&fields=files(id,name,description)&pageSize=1000",
"options": {},
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"nodeCredentialType": "googleDriveOAuth2Api"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "wIHEgJhIzXR9CFKm",
"name": "Google Docs account"
},
"googleDriveOAuth2Api": {
"id": "G5mimUj7FOKYpMol",
"name": "Google Drive-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "5a5f198e-b611-492e-a194-0cdfc6d8a3de",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
260
],
"parameters": {
"color": 4,
"width": 260,
"height": 360,
"content": "## 手动模板列表检索"
},
"typeVersion": 1
},
{
"id": "0ff8e732-1497-45af-b8a6-b29287d72f5f",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
260
],
"parameters": {
"width": 180,
"height": 320,
"content": ""
},
"typeVersion": 1
},
{
"id": "656dedde-5074-412b-ab5b-d6ee9980d8d9",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
260
],
"parameters": {
"width": 180,
"height": 320,
"content": ""
},
"typeVersion": 1
},
{
"id": "79633aef-0d8e-4f85-93f4-af4a13f47a7a",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
260
],
"parameters": {
"width": 180,
"height": 320,
"content": ""
},
"typeVersion": 1
},
{
"id": "839584c8-ce14-4c66-aee2-aa6572345fcc",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2000,
-60
],
"parameters": {
"color": 6,
"width": 1280,
"height": 4140,
"content": "## 描述"
},
"typeVersion": 1
},
{
"id": "69000a74-eba7-41a8-8c93-635e8664a1ce",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
660
],
"parameters": {
"color": 4,
"width": 3640,
"height": 1040,
"content": "## DocProcess（子工作流）"
},
"typeVersion": 1
},
{
"id": "d5f08f8a-d45c-4a6b-9223-b98aafe7b6a3",
"name": "当被其他工作流执行时",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
80,
1020
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "user_choice_name"
},
{
"name": "user_choice_id"
},
{
"name": "data",
"type": "object"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "709b08c4-7c8c-4d63-a8c2-3e8d96df40ce",
"name": "条件判断",
"type": "n8n-nodes-base.if",
"position": [
660,
1020
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a78bfdab-11cc-4ef1-8074-1fdcd6f14275",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.output.eslesme }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "2dd91c47-fefb-4715-a3ce-4a9f411d569d",
"name": "Google Gemini 聊天模型1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1620,
1140
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "M4luDvdaNUQojgwm",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "eac6b3cd-eb34-476d-a500-71bce8d5c29a",
"name": "结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
440,
1240
],
"parameters": {
"jsonSchemaExample": "{\n\t\"eslesme\": true,\n\t\"user_choice_name\": \"SATIŞ SÖZLEŞMESİ\",\n \"user_choice_id\": \"<EXAMPLE_TEMPLATE_ID>\"\n}"
},
"typeVersion": 1.3
},
{
"id": "76be9549-a482-496a-b11c-ddf8a958f39a",
"name": "编辑字段",
"type": "n8n-nodes-base.set",
"position": [
1320,
920
],
"parameters": {
"options": {},
"assignments": {
"assignments": []
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "011d9a1a-3841-4fbd-84f6-99b4ad4eb782",
"name": "条件判断1",
"type": "n8n-nodes-base.if",
"position": [
2340,
920
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "91055448-6534-40ca-939b-dfbdf2974ab1",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Format Control').item.json.output.docId }}",
"rightValue": "={{ $json.id }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "1f537d7f-d6d1-463b-999c-73fcba2b5024",
"name": "其他错误",
"type": "n8n-nodes-base.set",
"position": [
3220,
1420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cb4572fd-8cc7-4e85-860b-aabbb6b1038d",
"name": "Belge oluşturulamama sebebi:",
"type": "string",
"value": "=Please consult the user to resolve the following error.\n{{ $('FillDocument').item.json.message }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b0790f5f-256e-4559-926d-9ab45f1cad96",
"name": "分支",
"type": "n8n-nodes-base.switch",
"position": [
3000,
1120
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Template Technical Error",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c35889e4-f027-49b9-9b59-69cf996f0e9c",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $('FillDocument').item.json.unknown }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Incomplete Information Error",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "08a43597-51af-4632-82c5-ff54505bae13",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $('FillDocument').item.json.missing }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Other Errors",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b42acb05-8237-46c2-80f4-27cfb1232710",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $('FillDocument').item.json.message }}",
"rightValue": " Placeholder validation failed"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "26c8978f-4f18-4026-994a-4c3b2b0dfeed",
"name": "CopyTemplate",
"type": "n8n-nodes-base.googleDrive",
"position": [
2120,
920
],
"parameters": {
"name": "={{ $now.toFormat('dd.MM.yyyy') }} tarihli {{ $('GetMetaData2').item.json.metadata.title }} belgesi",
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.docId }}"
},
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "id",
"value": "=<YOUR_FOLDER_ID>"
},
"operation": "copy",
"sameFolder": false
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "G5mimUj7FOKYpMol",
"name": "Google Drive-n8n"
}
},
"typeVersion": 3
},
{
"id": "9ff9e7e9-1455-4d0b-8191-79b0c74b363b",
"name": "FillDocument",
"type": "n8n-nodes-base.httpRequest",
"position": [
2560,
1020
],
"parameters": {
"url": "https://script.google.com/macros/s/<YOUR_DEPLOY_ID>/exec",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "docId",
"value": "={{ $json.id }}"
},
{
"name": "data",
"value": "={{ $('Formatting Correction').item.json.data }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ce49d769-0a53-40d0-b05c-25b071994aff",
"name": "Google Gemini 聊天模型2",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
320,
1240
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "M4luDvdaNUQojgwm",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "cec0fdb3-0d86-47d5-9393-7718f20c5cf1",
"name": "用户选择匹配错误",
"type": "n8n-nodes-base.set",
"position": [
880,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0bd79b8c-66b5-4a4e-9888-6a0af9276061",
"name": "pdf_id",
"type": "string",
"value": "The template name selected by the user does not match the template matched by the agent. Please check if the template name selected by the user matches its id."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "bbb55fdb-6f7c-404c-8f00-c5d9da4e4803",
"name": "用户选择匹配正确",
"type": "n8n-nodes-base.set",
"position": [
880,
920
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0a616fd3-6227-4902-9d1d-1ca09f14412e",
"name": "output.user_choice_id",
"type": "string",
"value": "={{ $json.output.user_choice_id }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "e47a0291-ffa1-4cf5-850d-f882849eb917",
"name": "用户选择匹配检查",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
300,
1020
],
"parameters": {
"text": "=The reference point is the document name chosen by the user.\n\n<document_name_and_id>\n{{ $json.user_choice_name }}\n{{ $json.user_choice_id }}\n</document_name>\n\n<guide_template_list>\n{{ YOUR_MANUAL_TO_ADD_TEMPLATE_LIST }}\n</guide_template_list>\n\nA match of id information is given according to the document name. Examine this match according to the guide list given to you.\n\nIf match is correct\n\n{\n\"match\": true,\n\"user_choice_name\":\"{{ $json.user_choice_name }}\" ,\n\"user_choice_id\": {{ $json.user_choice_id }}\n}\n\nIf match is incorrect:\n{\n\"match\": false,\n\"user_choice_name\":\"{{ $json.user_choice_name }}\" ,\n\"user_choice_id\": {{ $json.user_choice_id }},\n\"correct_id\":\"WRITE THE ID YOU NEED HERE\"\n}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "Cevaplarını JSON formatında ver."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "6c13dece-f397-4d12-b60f-64890848889e",
"name": "GetMetaData2",
"type": "n8n-nodes-base.httpRequest",
"position": [
1100,
920
],
"parameters": {
"url": "https://script.google.com/macros/s/<YOUR_DEPLOY_ID>/exec",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "mode",
"value": "meta"
},
{
"name": "id",
"value": "={{ $json.output.user_choice_id }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "a9303653-7510-4fb7-b16c-14e49e7de89b",
"name": "格式控制",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1540,
920
],
"parameters": {
"text": "=Place the actual user answers according to the rules using the metadata information of the document given to you.\n\nMatch only the original metadata placeholder and conditional flags with the answers given by the user. DO NOT change the placeholder and conditional flag texts in the metadata.\n\n<metadata>\n{{ $json.metadata.toJsonString() }}\n</metadata>\n\n<user_answers>\n\n{{ $('When Executed by Another Workflow').item.json.data.toJsonString() }}\n</user_answers>\n\nFormat example of the output you should give:\n\n{\n\"docId\": \"<EXAMPLE_TEMPLATE_ID>\",\n\"data\": {\n// — Static (mandatory) placeholders —\n\"SELLER_NAME\": \"Özgür Mözgür\",\n\"BUYER_NAME\": \"Ali Veli\",\n\"PRODUCT_NAME\": \"Computer\",\n\"PRICE\": \"10000\",\n\"DELIVER_DATE\": \"12.06.2025\",\n\"TODAY_DATE\": \"02.07.2025\",\n\n// — Conditional blocks in the “blocks” object —\n\"blocks\": {\n\"MADATE_INSTALLMENT\": {\n\"include\": false\n// INSTALLMENT_PLAN is not sent because include:false\n},\n\"GUARANTEE\": {\n\"include\": true,\n\"GUARANTEE_PERIOD\": \"24\"\n}\n}\n}\n}",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "ad6cfa0a-d879-465c-8fec-26f3bc281f4c",
"name": "格式修正",
"type": "n8n-nodes-base.code",
"position": [
1900,
920
],
"parameters": {
"jsCode": "// 1) We get the raw text with $input.first() (direct JS instead of Expression)\n// $input provides access to each item as n8n's global variable.\nconst raw = $input.first().json.text;\n\n// 2) Regex to catch ```json … ``` block\nconst match = raw.match(/```json\\s*([\\s\\S]*?)```/i);\n\n// 3) Extract block or use full text\nconst jsonString = match ? match[1] : raw;\n\n// 4) Trim + parse\nconst clean = jsonString.trim();\nlet parsed;\ntry {\n parsed = JSON.parse(clean);\n} catch (e) {\n throw new Error(`JSON parse hatası: ${e.message}\\n\\nRaw içerik:\\n${clean}`);\n}\n\n// 5) Return a single item output\nreturn [{ json: parsed }];\n"
},
"typeVersion": 2
},
{
"id": "faeaad9d-e23c-429b-bff9-bb277dcf677f",
"name": "文档 ID 匹配错误",
"type": "n8n-nodes-base.set",
"position": [
2560,
820
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "4dec2470-f7cb-4b0a-92a8-31cf88581921",
"name": "Belge oluşturulamama sebebi:",
"type": "string",
"value": "=The document id to be filled with the copied document does not match"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2dba1518-f4ce-4d85-95a3-40245b3226bc",
"name": "如果",
"type": "n8n-nodes-base.if",
"position": [
2780,
1020
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fc031e6c-6bc6-445b-9cd5-f8e749156f88",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "OK"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ca0de06e-d55a-4243-94ff-55cd742c28a8",
"name": "生成下载链接",
"type": "n8n-nodes-base.httpRequest",
"position": [
3000,
820
],
"parameters": {
"url": "=https://www.googleapis.com/drive/v3/files/{{ $('CopyTemplate').item.json.id }}?fields=webContentLink,exportLinks ",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googleDriveOAuth2Api"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "G5mimUj7FOKYpMol",
"name": "Google Drive-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "9deae9c7-8b62-475d-bff8-b04295df2e35",
"name": "下载链接格式",
"type": "n8n-nodes-base.set",
"position": [
3220,
820
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9af065e4-ec39-480b-b577-99351ed48228",
"name": "download_link",
"type": "string",
"value": "={{ $json.exportLinks['application/pdf'] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3a2bbdb7-a69c-4b5f-8050-b75cfaed6d2e",
"name": "信息不完整错误",
"type": "n8n-nodes-base.set",
"position": [
3220,
1020
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "4dec2470-f7cb-4b0a-92a8-31cf88581921",
"name": "Belge oluşturulamama sebebi:",
"type": "string",
"value": "={{ $('FillDocument').item.json.status }}\nError description:\n{{ $('FillDocument').item.json.message }}\n\n\nLütfen buradaki eksik belgeleri user'dan isteyiniz. Tüm bilgileri tamamladıktan sonra tekrar DocProcess aracını çağırabilirsiniz. {{ $('FillDocument').item.json.missing.toJsonString() }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "132e6eb0-6630-4cd2-b490-b5033bf1782a",
"name": "模板技术错误",
"type": "n8n-nodes-base.set",
"position": [
3220,
1220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cb4572fd-8cc7-4e85-860b-aabbb6b1038d",
"name": "Belge oluşturulamama sebebi:",
"type": "string",
"value": "=This is a technical error, you can send the following text to the user: \"Please consult your institution or organization for this issue. The draft that the document you requested was created from is incorrect.\""
}
]
}
},
"typeVersion": 3.4
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "8d310631-7990-4ed7-b18a-2c351cee1768",
"connections": {
"If": {
"main": [
[
{
"node": "User Choice Match Correct",
"type": "main",
"index": 0
}
],
[
{
"node": "User Choice Matching Error",
"type": "main",
"index": 0
}
]
]
},
"if": {
"main": [
[
{
"node": "Generate Download Link",
"type": "main",
"index": 0
}
],
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Cop. Document ID Matching Error",
"type": "main",
"index": 0
}
],
[
{
"node": "FillDocument",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Template Technical Error",
"type": "main",
"index": 0
}
],
[
{
"node": "Incomplete Information Error",
"type": "main",
"index": 0
}
],
[
{
"node": "Other Errors",
"type": "main",
"index": 0
}
]
]
},
"DocProcess": {
"ai_tool": [
[
{
"node": "DocAgent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Format Control",
"type": "main",
"index": 0
}
]
]
},
"GetMetaData": {
"ai_tool": [
[
{
"node": "DocAgent",
"type": "ai_tool",
"index": 0
}
]
]
},
"CopyTemplate": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
]
]
},
"FillDocument": {
"main": [
[
{
"node": "if",
"type": "main",
"index": 0
}
]
]
},
"GetMetaData2": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Format Control": {
"main": [
[
{
"node": "Formatting Correction",
"type": "main",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "DocAgent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Formatting Correction": {
"main": [
[
{
"node": "CopyTemplate",
"type": "main",
"index": 0
}
]
]
},
"Generate Download Link": {
"main": [
[
{
"node": "Download Link Format",
"type": "main",
"index": 0
}
]
]
},
"User Choice Match Check": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "DocAgent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "User Choice Match Check",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Format Control",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model2": {
"ai_languageModel": [
[
{
"node": "User Choice Match Check",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"User Choice Match Correct": {
"main": [
[
{
"node": "GetMetaData2",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "DocAgent",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "User Choice Match Check",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 文档提取, AI 聊天机器人
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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