简单 RAG
中级
这是一个Internal Wiki, AI RAG领域的自动化工作流,包含 14 个节点。主要使用 FormTrigger, Agent, ChatTrigger, LmChatOpenAi, RerankerCohere 等节点。 使用OpenAI、Pinecone和Cohere重排序构建基于PDF的RAG系统
前置要求
- •OpenAI API Key
- •Pinecone API Key
使用的节点 (14)
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": "pDhufDfHS9qRgtLf",
"meta": {
"instanceId": "fa52a98dd39f67760c7540fff8a0dd5306d89f766551eb7a7c84b5f43eb33d4c",
"templateCredsSetupCompleted": true
},
"name": "简单 RAG",
"tags": [],
"nodes": [
{
"id": "93cd13c5-12ad-4c9c-aac7-1886a1d24470",
"name": "表单提交时",
"type": "n8n-nodes-base.formTrigger",
"position": [
0,
0
],
"webhookId": "cab3dda4-3b49-4f05-a2c1-915ae4c62017",
"parameters": {
"options": {},
"formTitle": "Upload RAG PDF",
"formFields": {
"values": [
{
"fieldType": "file",
"fieldLabel": "File",
"multipleFiles": false,
"requiredField": true,
"acceptFileTypes": ".pdf"
}
]
},
"formDescription": "Upload RAG PDF"
},
"typeVersion": 2.2
},
{
"id": "13fe2ba5-a24d-4198-8509-882eb4c08e1a",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
320,
0
],
"parameters": {
"mode": "insert",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "n8n",
"cachedResultName": "n8n"
}
},
"credentials": {
"pineconeApi": {
"id": "VP5fhue9NYRkdlCj",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "aa3d1481-3da7-4ae1-9857-c64a71e28443",
"name": "OpenAI 嵌入",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
920,
460
],
"parameters": {
"options": {
"dimensions": 1024
}
},
"credentials": {
"openAiApi": {
"id": "y8sLJ2LzZL2c7SGi",
"name": "OpenAI Webinar"
}
},
"typeVersion": 1.2
},
{
"id": "17350e15-5b99-493d-acd2-9f44fd661b09",
"name": "默认数据加载器",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
440,
220
],
"parameters": {
"options": {},
"dataType": "binary",
"textSplittingMode": "custom"
},
"typeVersion": 1.1
},
{
"id": "8199713d-cad8-4d17-937c-1b3b604b95ea",
"name": "递归字符文本分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
520,
440
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "fcaf5178-4694-4e20-ac62-8da3c1c8279e",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
-80
],
"parameters": {
"width": 880,
"height": 680,
"content": "## 插入数据到 Pinecone"
},
"typeVersion": 1
},
{
"id": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1440,
80
],
"parameters": {
"options": {
"systemMessage": "Hanya jawab berdasarkan data yang ada di tools \"VectorDB\". Kalau data disitu gak ada, jawab saja kamu tidak tahu."
}
},
"typeVersion": 2
},
{
"id": "015d2a82-3c3d-4604-bbbf-7df57dd24269",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
1200,
80
],
"webhookId": "c1f8d15b-e096-47f8-922e-a7484ebbc25c",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "a1b26946-9a3f-4aa2-a723-f91e196943cf",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1280,
300
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "y8sLJ2LzZL2c7SGi",
"name": "OpenAI Webinar"
}
},
"typeVersion": 1.2
},
{
"id": "6beecd5e-a8fc-4e69-8fbc-a0e0e90c4aa6",
"name": "简单记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1480,
300
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "02b1aa4f-a291-4f2c-b6d9-0290d6b563ae",
"name": "向量数据库",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
1640,
300
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 20,
"options": {},
"useReranker": true,
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "n8n",
"cachedResultName": "n8n"
},
"toolDescription": "Ambil data dari vector database untuk knowledgebase"
},
"credentials": {
"pineconeApi": {
"id": "VP5fhue9NYRkdlCj",
"name": "PineconeApi account"
}
},
"typeVersion": 1.3
},
{
"id": "bada58fc-73f4-431f-9702-e742a75ce2c3",
"name": "便签 1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
-80
],
"parameters": {
"color": 5,
"width": 860,
"height": 680,
"content": "## 聊天 AI Agent"
},
"typeVersion": 1
},
{
"id": "2e572866-dcf7-492f-aebe-35b12bc6b27d",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
840,
300
],
"parameters": {
"color": 4,
"height": 300,
"content": "## 嵌入模型"
},
"typeVersion": 1
},
{
"id": "6dcbbf3a-3acd-4170-9f79-c2441da18979",
"name": "Cohere 重排序器",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
1740,
480
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "yDA2nh2ZZXkR9tcq",
"name": "Cohere API Trial"
}
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6b1d46bd-ed09-4a25-a95e-fa5a3e2950f7",
"connections": {
"VectorDB": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Reranker Cohere": {
"ai_reranker": [
[
{
"node": "VectorDB",
"type": "ai_reranker",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
},
{
"node": "VectorDB",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Pinecone Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"main": [
[]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"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?
中级 - 内部知识库, AI RAG 检索增强
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。
相关工作流推荐
基于 Webhook、Pinecone + OpenAI + n8n 的智能文档问答系统
基于OpenAI GPT、Pinecone向量数据库和Google Drive集成的文档问答系统
Webhook
Google Drive
Manual Trigger
+11
30 节点Mohan Gopal
内部知识库
简单 RAG 聊天机器人
使用 OpenAI 和 Pinecone 的客户支持 RAG 聊天机器人
Google Drive
Agent
Google Drive Trigger
+9
15 节点Ilyass Kanissi
AI RAG 检索增强
🤖 使用Gemini RAG流水线构建文档专家聊天机器人
使用OpenAI RAG流水线构建n8n文档专家聊天机器人
Set
Html
Filter
+16
46 节点Ayham
内部知识库
用于GitHub的AI代理
使用OpenAI创建从GitHub仓库学习的代码助手
Set
Github
Http Request
+11
19 节点Nghia Nguyen
内部知识库
基于文档的 AI 聊天机器人,带 RAG、OpenAI 和 Cohere 重排器
基于文档的 AI 聊天机器人,带 RAG、OpenAI 和 Cohere 重排器
Google Drive
Manual Trigger
Agent
+9
18 节点Anderson Adelino
内部知识库
与您的Drive文件夹RAG对话
使用GPT、Pinecone和RAG与Google Drive文档对话
Google Drive
Agent
Google Drive Trigger
+9
20 节点Marko
AI RAG 检索增强