文档分解为学习笔记
高级
这是一个Other, AI领域的自动化工作流，包含 42 个节点。主要使用 Set, Wait, Merge, Switch, SplitOut 等节点，结合人工智能技术实现智能自动化。 使用模板化MistralAI和Qdrant将文档分解为学习笔记
前置要求
- •Qdrant 服务器连接信息
使用的节点 (42)
Set
Wait
Merge
Switch
SplitOut
Aggregate
StickyNote
ConvertToFile
ReadWriteFile
SplitInBatches
ExtractFromFile
LocalFileTrigger
ChainLlm
ChainRetrievalQa
VectorStoreQdrant
ChainSummarization
LmChatMistralCloud
OutputParserItemList
RetrieverVectorStore
EmbeddingsMistralCloud
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter
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
{
"meta": {
"instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
},
"nodes": [
{
"id": "a3af309b-d24c-42fe-8bcd-f330927c7a3c",
"name": "本地文件触发器",
"type": "n8n-nodes-base.localFileTrigger",
"position": [
140,
260
],
"parameters": {
"path": "/home/node/storynotes/context",
"events": [
"add"
],
"options": {
"usePolling": true,
"followSymlinks": true
},
"triggerOn": "folder"
},
"typeVersion": 1
},
{
"id": "048f9d67-6519-4dea-97df-aaddfefbfea2",
"name": "默认数据加载器",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1300,
720
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "project",
"value": "={{ $('Settings').item.json.project }}"
},
{
"name": "filename",
"value": "={{ $('Settings').item.json.filename }}"
}
]
}
},
"jsonData": "={{ $json.data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "9e9047c9-4428-4afb-8c74-d6eb1075a65a",
"name": "递归字符文本分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1300,
860
],
"parameters": {
"options": {},
"chunkSize": 2000
},
"typeVersion": 1
},
{
"id": "e42e3f82-6cd9-40c4-9da2-8f87ee5b3956",
"name": "Mistral云嵌入",
"type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
"position": [
1180,
720
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "578c63db-4f6e-4341-ab0d-111debd519be",
"name": "Mistral Cloud 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
2660,
840
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "c34adb3e-1fb9-4248-ae83-2bac34c8b0a4",
"name": "Mistral Cloud Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
1200,
400
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "98e6dcc0-1e3a-4119-b657-0949f34ba525",
"name": "准备传入文档",
"type": "n8n-nodes-base.set",
"position": [
900,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "da64ffde-1e8f-478d-baea-59fc05e6d3ce",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "ab88cf9a-d310-4bef-9280-8b23729e7cc9",
"name": "设置",
"type": "n8n-nodes-base.set",
"position": [
320,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "df327b01-961c-4a49-8455-58c3fbff111a",
"name": "project",
"type": "string",
"value": "={{ $json.path.split('/').slice(0, 4)[3] }}"
},
{
"id": "6b7d26f9-3a38-417e-85d0-4e9d42476465",
"name": "path",
"type": "string",
"value": "={{ $json.path }}"
},
{
"id": "bb4471c7-d894-4739-99a6-4be247794ffa",
"name": "filename",
"type": "string",
"value": "={{ $json.path.split('/').last() }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "35c6b678-e6e9-4adf-a904-909fa2401d5e",
"name": "合并",
"type": "n8n-nodes-base.merge",
"position": [
1600,
420
],
"parameters": {
"mode": "chooseBranch"
},
"typeVersion": 2.1
},
{
"id": "0fa13be8-8500-486c-a1c6-cc1df00a4947",
"name": "获取文档类型",
"type": "n8n-nodes-base.set",
"position": [
2000,
420
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "{\n \"docs\": [\n {\n \"filename\": \"study_guide.md\",\n \"title\": \"Study Guide\",\n \"description\": \"A Study Guide is a consolidated resource designed to aid learning. This guide includes three key elements: * A short answer quiz accompanied by an answer key to test comprehension. * A curated list of long-form essay questions to encourage deeper analysis and synthesis of the material. * A glossary of key terms to reinforce understanding of important concepts.\"\n },\n {\n \"filename\": \"timeline.md\",\n \"title\": \"Timeline\",\n \"description\": \"A Timeline organizes all significant events described in the sources you have uploaded in chronological order. This ordered list makes it easier to understand the sequence of events and their connection to the broader context of your sources. In addition to the list of events, the Timeline also provides a “cast of characters,” which comprises short biographical sketches of all the important people mentioned in your uploaded sources. These short biographies can help you quickly grasp the roles of various individuals involved in the events described by the Timeline.\"\n },\n {\n \"filename\": \"briefing_doc.md\",\n \"title\": \"Briefing Doc\",\n \"description\": \"A Briefing Doc identifies and presents the most important facts and insights from the sources in an easy-to-understand outline format. This format is designed to provide a concise overview of the key takeaways from the uploaded materials.\"\n }\n ]\n}\n"
},
"executeOnce": true,
"typeVersion": 3.3
},
{
"id": "e3469368-f214-4549-844e-7febfbbf0202",
"name": "分离文档类型",
"type": "n8n-nodes-base.splitOut",
"position": [
2160,
420
],
"parameters": {
"options": {},
"fieldToSplitOut": "docs"
},
"typeVersion": 1
},
{
"id": "df401e9e-2f70-4079-969b-6b61142fca37",
"name": "对于每个文档类型...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
2340,
420
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "c334b546-8e11-424d-bdd5-006e7086f24b",
"name": "项目列表输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserItemList",
"position": [
2840,
840
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "4267c2b5-f1cd-4df7-84ee-be01a643a1c1",
"name": "向量存储检索器",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
3200,
840
],
"parameters": {},
"typeVersion": 1
},
{
"id": "abf833ec-8a6d-4e13-a526-0ea6b80d578f",
"name": "Mistral Cloud1 嵌入",
"type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
"position": [
3200,
1060
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "a0e50185-6662-4b11-9922-59e8b06e4967",
"name": "Qdrant 向量存储1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
3200,
940
],
"parameters": {
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "storynotes",
"cachedResultName": "storynotes"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "20c5766a-d3ce-4c01-a76b-facf1a00abc2",
"name": "Mistral Cloud Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
3100,
840
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "f049b7af-07f3-47e5-9476-68d73a387978",
"name": "分离输出",
"type": "n8n-nodes-base.splitOut",
"position": [
2960,
680
],
"parameters": {
"options": {},
"fieldToSplitOut": "response"
},
"typeVersion": 1
},
{
"id": "39042ae0-e17f-46cd-84be-728868950d84",
"name": "聚合",
"type": "n8n-nodes-base.aggregate",
"position": [
3400,
680
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "response.text"
}
]
}
},
"typeVersion": 1
},
{
"id": "e3b900c8-515d-4ac7-88fa-c364134ba9f9",
"name": "Mistral Cloud 聊天模型3",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
3540,
840
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "EIl2QxhXAS9Hkg37",
"name": "Mistral Cloud account"
}
},
"typeVersion": 1
},
{
"id": "efb26a5d-6a61-44b2-ad99-6d1f8b48998d",
"name": "发现",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
3100,
680
],
"parameters": {
"text": "={{ $json.response }}",
"promptType": "define"
},
"typeVersion": 1.3
},
{
"id": "302b7523-898e-47af-8941-aa5f8a58fd9c",
"name": "2秒",
"type": "n8n-nodes-base.wait",
"position": [
3880,
1060
],
"webhookId": "ec58ab18-03c5-4b58-bc2e-24415a236c72",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "007857b0-c12c-4c57-b07f-db30526cd747",
"name": "获取生成的文档",
"type": "n8n-nodes-base.set",
"position": [
2680,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b38546b2-47c4-4967-a2d7-98aebd589e95",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "a263519a-aa05-410a-b4f0-f5e22cc5058c",
"name": "path",
"type": "string",
"value": "={{ $('Prep For AI').item.json.path }}"
},
{
"id": "ec1687d6-0ea9-460f-b9d4-ae4a7e229e12",
"name": "filename",
"type": "string",
"value": "={{ $('Prep For AI').item.json.name }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "36fac35f-df10-41ab-96a7-3a5e67f9d8df",
"name": "生成",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
3540,
680
],
"parameters": {
"text": "=## Document\n{{ $json.text.join('\\n') }}",
"messages": {
"messageValues": [
{
"message": "=Your job is to create a {{ $('For Each Doc Type...').item.json.title }} for the given document. {{ $('For Each Doc Type...').item.json.description }}\n\nGenerate a {{ $('For Each Doc Type...').item.json.title }} for the given document. If questions are generated, generate the answers alongside them. Format your response in markdown; use \"#\" to format headings, use \"*\" to format lists."
}
]
},
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "b9a79cb0-bcc1-4d73-af93-5f8d7e2258a9",
"name": "为 AI 准备",
"type": "n8n-nodes-base.set",
"position": [
1760,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5c864125-c884-4d33-b0ed-e3eecd354196",
"name": "id",
"type": "string",
"value": "={{ $('Settings').first().json.filename.hash() }}"
},
{
"id": "93ac14c1-ae97-4ef2-a66f-6c1110f3b0fc",
"name": "project",
"type": "string",
"value": "={{ $('Settings').first().json.project }}"
},
{
"id": "fafd16b9-0002-4f7c-89d0-29788f8ec472",
"name": "path",
"type": "string",
"value": "={{ $('Settings').first().json.path }}"
},
{
"id": "5a5860ba-918b-4fb8-b18c-96c1cd22091a",
"name": "name",
"type": "string",
"value": "={{ $('Settings').first().json.filename }}"
},
{
"id": "1a1caf65-85d8-4f74-a3be-503ccfc0b2c9",
"name": "summary",
"type": "string",
"value": "={{ $('Summarization Chain').first().json.response.text }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "e40c7e99-9813-4f06-92bb-dfb2839f1037",
"name": "转换为二进制",
"type": "n8n-nodes-base.convertToFile",
"position": [
2860,
240
],
"parameters": {
"options": {},
"operation": "toText",
"sourceProperty": "={{ $json.data }}"
},
"typeVersion": 1.1
},
{
"id": "b55df916-7a51-4114-91b8-18a3c6ba2c56",
"name": "导出到文件夹",
"type": "n8n-nodes-base.readWriteFile",
"position": [
3020,
240
],
"parameters": {
"options": {},
"fileName": "={{\n $('Get Generated Documents').item.json.path.replace(\n $('Get Generated Documents').item.json.path.split('/').last(),\n $('Get Generated Documents').item.json.filename.substring(0,21) + '...' + $('Split Out Doc Types').item.json.title + '.md'\n )\n}}",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "8490664e-0ca5-4839-ad03-d3f9706c99a3",
"name": "获取文件类型",
"type": "n8n-nodes-base.switch",
"position": [
480,
420
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "pdf",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileType }}",
"rightValue": "pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "docx",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3a5f509d-46fe-490c-95f0-35124873c63e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileType }}",
"rightValue": "docx"
}
]
},
"renameOutput": true
},
{
"outputKey": "everything else",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "75188d2f-4bea-44ea-a579-9b9a1bd1ea93",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "386f7aac-f3b9-4565-907f-687d48b00c52",
"name": "导入文件",
"type": "n8n-nodes-base.readWriteFile",
"position": [
320,
420
],
"parameters": {
"options": {},
"fileSelector": "={{ $json.path }}"
},
"typeVersion": 1
},
{
"id": "6ade93d5-61c3-450a-b78c-e210c18c0e70",
"name": "从 PDF 提取",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
260
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "f413e139-3f9c-438f-8e82-824c38f09c6b",
"name": "从 DOCX 提取",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
420
],
"parameters": {
"options": {},
"operation": "ods"
},
"typeVersion": 1
},
{
"id": "455fadea-f5c7-4bea-983f-b06da4e57510",
"name": "从 TEXT 提取",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
580
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "b2586011-4985-4075-b51c-90301b1a8cf9",
"name": "摘要链",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
1200,
260
],
"parameters": {
"options": {},
"chunkSize": 4000
},
"typeVersion": 2
},
{
"id": "1502e72c-e97e-4148-8138-01818ab5b104",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
85.80882007954312
],
"parameters": {
"color": 7,
"width": 995.1475972814769,
"height": 694.0931000693263,
"content": "## 步骤 1. 监视文件夹并导入新文档"
},
"typeVersion": 1
},
{
"id": "7b3afc2c-3fb8-4589-9475-78f5617009cc",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
82.96464765818223
],
"parameters": {
"color": 7,
"width": 824.3300768713589,
"height": 949.8141899605673,
"content": "## 步骤 2. 总结并向量化文档内容"
},
"typeVersion": 1
},
{
"id": "74aabb02-ca5d-41ad-b84f-92d66428b774",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1940,
156.7963650826494
],
"parameters": {
"color": 7,
"width": 591.09953935829,
"height": 485.0226378812345,
"content": "## 步骤 3. 循环遍历模板"
},
"typeVersion": 1
},
{
"id": "b96f899d-4a44-491c-b164-a42feba129eb",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2560,
480
],
"parameters": {
"color": 7,
"width": 1500.7886103732135,
"height": 806.6560661824452,
"content": "## 步骤 4. 使用 AI 代理查询并生成模板文档"
},
"typeVersion": 1
},
{
"id": "77fda269-6877-422f-b6e6-4346bde862db",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2560,
67.64523011966037
],
"parameters": {
"color": 7,
"width": 771.8710855215123,
"height": 384.22073222791266,
"content": "## 步骤 5. 将生成的模板导出到文件夹"
},
"typeVersion": 1
},
{
"id": "08839972-f0f4-4144-bf27-810664cbf828",
"name": "Qdrant 向量存储",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1200,
560
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "storynotes",
"cachedResultName": "storynotes"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "7e216411-83ee-4b82-9e00-285d4f2d3224",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
80
],
"parameters": {
"width": 390.63004227317265,
"height": 401.0080676370763,
"content": "## 试试看！"
},
"typeVersion": 1
},
{
"id": "f2c363d3-a2bf-4468-ad54-f26649ce6ab8",
"name": "面试",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2660,
680
],
"parameters": {
"text": "=## document summary\n {{ $('Prep For AI').item.json.summary }}",
"messages": {
"messageValues": [
{
"message": "=Given the following document summary, what questions would you ask to create a {{ $('For Each Doc Type...').item.json.title }} for the document? Generate 5 questions."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.4
},
{
"id": "ce3da55d-8c22-40bb-8781-63c2e6bcb824",
"name": "便签 6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1960,
380
],
"parameters": {
"width": 172.26820279743384,
"height": 295.46359440513226,
"content": "### 💡在此处添加您自己的模板！"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"2secs": {
"main": [
[
{
"node": "For Each Doc Type...",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Prep For AI",
"type": "main",
"index": 0
}
]
]
},
"Discover": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Generate": {
"main": [
[
{
"node": "2secs",
"type": "main",
"index": 0
}
]
]
},
"Settings": {
"main": [
[
{
"node": "Import File",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Generate",
"type": "main",
"index": 0
}
]
]
},
"Interview": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Discover",
"type": "main",
"index": 0
}
]
]
},
"To Binary": {
"main": [
[
{
"node": "Export to Folder",
"type": "main",
"index": 0
}
]
]
},
"Import File": {
"main": [
[
{
"node": "Get FileType",
"type": "main",
"index": 0
}
]
]
},
"Prep For AI": {
"main": [
[
{
"node": "Get Doc Types",
"type": "main",
"index": 0
}
]
]
},
"Get FileType": {
"main": [
[
{
"node": "Extract from PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from DOCX",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from TEXT",
"type": "main",
"index": 0
}
]
]
},
"Get Doc Types": {
"main": [
[
{
"node": "Split Out Doc Types",
"type": "main",
"index": 0
}
]
]
},
"Extract from PDF": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Extract from DOCX": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Extract from TEXT": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Prep Incoming Doc": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
},
{
"node": "Summarization Chain",
"type": "main",
"index": 0
}
]
]
},
"Local File Trigger": {
"main": [
[
{
"node": "Settings",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Split Out Doc Types": {
"main": [
[
{
"node": "For Each Doc Type...",
"type": "main",
"index": 0
}
]
]
},
"Summarization Chain": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"For Each Doc Type...": {
"main": [
[
{
"node": "Get Generated Documents",
"type": "main",
"index": 0
}
],
[
{
"node": "Interview",
"type": "main",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Discover",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Get Generated Documents": {
"main": [
[
{
"node": "To Binary",
"type": "main",
"index": 0
}
]
]
},
"Item List Output Parser": {
"ai_outputParser": [
[
{
"node": "Interview",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Embeddings Mistral Cloud": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model": {
"ai_languageModel": [
[
{
"node": "Interview",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings Mistral Cloud1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model1": {
"ai_languageModel": [
[
{
"node": "Summarization Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model2": {
"ai_languageModel": [
[
{
"node": "Discover",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model3": {
"ai_languageModel": [
[
{
"node": "Generate",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"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 - 其他, 人工智能
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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工作流信息
难度等级
高级
节点数量42
分类2
节点类型22
作者
Jimleuk
@jimleukFreelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk
外部链接
在 n8n.io 查看 →
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