RAG：上下文感知分块 | 通过OpenRouter和Gemini从Google Drive到Pinecone
高级
这是一个Building Blocks、AI领域的自动化工作流，包含 17 个节点。主要使用 Set、Code、SplitOut、GoogleDrive、ManualTrigger 等节点，结合人工智能技术实现智能自动化。 RAG：上下文感知分块 | 通过OpenRouter和Gemini从Google Drive到Pinecone
前置要求
- •Google Drive API 凭证
- •Pinecone API Key
使用的节点 (17 个)
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": "VY4WBXuNDPxmOO5e",
"meta": {
"instanceId": "d16fb7d4b3eb9b9d4ad2ee6a7fbae593d73e9715e51f583c2a0e9acd1781c08e",
"templateCredsSetupCompleted": true
},
"name": "RAG：上下文感知分块 | 通过 OpenRouter 和 Gemini 从 Google Drive 到 Pinecone",
"tags": [
{
"id": "XZIQK6NdzGvgbZFd",
"name": "Sell",
"createdAt": "2025-01-15T12:28:48.424Z",
"updatedAt": "2025-01-15T12:28:48.424Z"
}
],
"nodes": [
{
"id": "7abbfa6e-4b17-4656-9b82-377b1bacf539",
"name": "当点击\"测试工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "448ec137-bf64-46b4-bf15-c7a040faa306",
"name": "遍历项目",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1100,
0
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "f22557ee-7f37-40cd-9063-a9a759274663",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
20,
440
],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "ddH6iNlm09UxrXvu",
"name": "Auto: OpenRouter"
}
},
"typeVersion": 1
},
{
"id": "57e8792e-25ae-43d5-b4e9-e87642365ee9",
"name": "Pinecone 向量存储",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
780,
360
],
"parameters": {
"mode": "insert",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "context-rag-test",
"cachedResultName": "context-rag-test"
}
},
"credentials": {
"pineconeApi": {
"id": "R3QGXSEIRTEAZttK",
"name": "Auto: PineconeApi"
}
},
"typeVersion": 1
},
{
"id": "0a8c2426-0aaf-424a-b246-336a9034aba8",
"name": "Google Gemini 嵌入",
"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
"position": [
720,
540
],
"parameters": {
"modelName": "models/text-embedding-004"
},
"credentials": {
"googlePalmApi": {
"id": "9idxGZRZ3BAKDoxq",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "edc587bd-494d-43e8-b6d6-26adab7af3dc",
"name": "默认数据加载器",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
920,
540
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "a82d4e0b-248e-426d-9ef3-f25e7078ceb3",
"name": "递归字符文本分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
840,
680
],
"parameters": {
"options": {},
"chunkSize": 100000
},
"typeVersion": 1
},
{
"id": "8571b92f-5587-454f-9700-ea04ca35311b",
"name": "从 Google Drive 获取文档",
"type": "n8n-nodes-base.googleDrive",
"position": [
220,
0
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1gm0jxFTLuiWB5u4esEjzoCPImrVqu0AEMIKBIesTf9M",
"cachedResultUrl": "https://docs.google.com/document/d/1gm0jxFTLuiWB5u4esEjzoCPImrVqu0AEMIKBIesTf9M/edit?usp=drivesdk",
"cachedResultName": "Udit Rawat - Details"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "SsiQguNA8w3Wwv4w",
"name": "Auto: Google Drive"
}
},
"typeVersion": 3
},
{
"id": "2bed3d0f-3d65-4394-87f1-e73320a43a4a",
"name": "从 Google 文档提取文本数据",
"type": "n8n-nodes-base.extractFromFile",
"position": [
440,
0
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "837fa691-6c66-434b-ba82-d1cad9aecdf7",
"name": "将文档文本分割成多个部分",
"type": "n8n-nodes-base.code",
"position": [
660,
0
],
"parameters": {
"jsCode": "let split_text = \"—---------------------------—-------------[SECTIONEND]—---------------------------—-------------\";\nfor (const item of $input.all()) {\n item.json.section = item.json.data.split(split_text);\n item.json.document = JSON.stringify(item.json.section)\n}\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "cc801e7e-e01b-421a-9211-08322ef8a0b2",
"name": "准备用于循环的各个部分",
"type": "n8n-nodes-base.splitOut",
"position": [
880,
0
],
"parameters": {
"options": {},
"fieldToSplitOut": "section"
},
"typeVersion": 1
},
{
"id": "658cb8df-92e3-4b25-8f37-e5f959d913dc",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-100
],
"parameters": {
"width": 1300,
"height": 280,
"content": "## 准备文档"
},
"typeVersion": 1
},
{
"id": "82ee9194-484a-46db-b75c-bec34201c7e2",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-220,
220
],
"parameters": {
"width": 780,
"height": 360,
"content": "## 准备上下文"
},
"typeVersion": 1
},
{
"id": "2f6950df-ead1-479a-aa51-7768121a4eb2",
"name": "AI 代理 - 准备上下文",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
40,
260
],
"parameters": {
"text": "=<document> \n{{ $('Split Document Text Into Sections').item.json.document }}\n</document> \nHere is the chunk we want to situate within the whole document \n<chunk> \n{{ $json.section }}\n</chunk> \nPlease give a short succinct context to situate this chunk within the overall document for the purposes of improving search retrieval of the chunk. Answer only with the succinct context and nothing else. ",
"agent": "conversationalAgent",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "34a465fc-a505-445a-9211-bcd830381354",
"name": "连接上下文和部分文本",
"type": "n8n-nodes-base.set",
"position": [
400,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e5fb0381-5d23-46e2-a0d1-438240b80a3e",
"name": "=section_chunk",
"type": "string",
"value": "={{ $json.output }}. {{ $('Loop Over Items').item.json.section }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4a7a788c-8e5b-453c-ae52-a4522048992d",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
220
],
"parameters": {
"width": 580,
"height": 600,
"content": "## 将文本转换为向量"
},
"typeVersion": 1
},
{
"id": "45798b49-fc78-417c-a752-4dd1a8882cd7",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
-120
],
"parameters": {
"width": 400,
"height": 300,
"content": "## 视频演示"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "4f0e2203-5850-4a32-b1dd-5adc57fa43ff",
"connections": {
"Loop Over Items": {
"main": [
[],
[
{
"node": "AI Agent - Prepare Context",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent - Prepare Context",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Google Gemini": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"AI Agent - Prepare Context": {
"main": [
[
{
"node": "Concatenate the context and section text",
"type": "main",
"index": 0
}
]
]
},
"Prepare Sections For Looping": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Get Document From Google Drive": {
"main": [
[
{
"node": "Extract Text Data From Google Document",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Split Document Text Into Sections": {
"main": [
[
{
"node": "Prepare Sections For Looping",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Get Document From Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Extract Text Data From Google Document": {
"main": [
[
{
"node": "Split Document Text Into Sections",
"type": "main",
"index": 0
}
]
]
},
"Concatenate the context and section text": {
"main": [
[
{
"node": "Pinecone Vector Store",
"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？
这是一个高级难度的工作流，适用于Building Blocks、AI等场景。适合高级用户，包含 16+ 个节点的复杂工作流
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17
分类2
节点类型14
作者
Udit Rawat
@ailistmasterHi, I’m Udit, an Acquia-certified developer with a strong background in web development and creating enterprise solutions. Recently, I’ve transitioned into AI and ML, I hold DIAT Professional AI Certification. I specialize in building AI-driven automation to streamline workflows, improve efficiency, and solve complex problems. With expertise in AI/ML tools and years of experience in Acquia and Drupal, I’m passionate about leveraging tech to drive innovation and create smarter solutions.
外部链接
在 n8n.io 上查看 →
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