使用知识图谱本体专家增强您的提示
中级
这是一个Internal Wiki, AI RAG领域的自动化工作流,包含 7 个节点。主要使用 HttpRequest, ChatTrigger 等节点。 通过InfraNodus知识图谱推理和GraphRAG增强AI聊天机器人响应
前置要求
- •可能需要目标 API 的认证凭证
使用的节点 (7)
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": "MqHZXsobgwvx8B1f",
"meta": {
"instanceId": "334f4f928505fa56392672dcbddf0c1a39709717127e8d60d133a12f8f82b3b4",
"templateCredsSetupCompleted": true
},
"name": "使用知识图谱本体专家增强您的提示",
"tags": [
{
"id": "2Q64isOPYcTslspA",
"name": "AI",
"createdAt": "2025-08-02T13:39:06.091Z",
"updatedAt": "2025-08-02T13:39:06.091Z"
},
{
"id": "pZUWchtD7Jo42VrS",
"name": "AI Chatbot",
"createdAt": "2025-08-02T13:39:11.275Z",
"updatedAt": "2025-08-02T13:39:11.275Z"
},
{
"id": "MNbFLjKxPdVAYXIC",
"name": "AI Rag",
"createdAt": "2025-08-02T13:39:08.349Z",
"updatedAt": "2025-08-02T13:39:08.349Z"
}
],
"nodes": [
{
"id": "2568cca8-643d-48cd-969a-eccf267dd000",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-512,
0
],
"webhookId": "26592391-6f28-4740-8caa-79ce80b582d0",
"parameters": {
"public": true,
"options": {}
},
"typeVersion": 1.1
},
{
"id": "92d3bec1-b54d-43c8-8ac2-1e11d92135cb",
"name": "通过推理本体增强的提示",
"type": "n8n-nodes-base.httpRequest",
"position": [
-16,
0
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&addStats=true&optimize=develop&includeStatements=true&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "eightos_system"
},
{
"name": "requestMode",
"value": "reprompt"
},
{
"name": "aiTopics",
"value": "true"
},
{
"name": "prompt",
"value": "={{ $json.chatInput }}"
},
{
"name": "systemPrompt",
"value": "Your task is to reformulate the original query of a user using the context provided"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "C3Li2OwYebUs6Dmg",
"name": "InfraNodus Expert"
}
},
"typeVersion": 4.2
},
{
"id": "cb908d48-e575-4844-a026-aa95d0655935",
"name": "查询知识库",
"type": "n8n-nodes-base.httpRequest",
"position": [
608,
0
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&addStats=true&optimize=develop&includeStatements=true&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "eightos_system"
},
{
"name": "requestMode",
"value": "response"
},
{
"name": "aiTopics",
"value": "true"
},
{
"name": "prompt",
"value": "={{ $json.aiAdvice[0].text }}"
},
{
"name": "systemPrompt",
"value": "Use the context you are provided as a logic to use when providing a response to the user query, not as the content you should be providing. IT IS IMPERATIVE THAT YOU DO NOT EXTRACT THE CONTENT FROM THE CONTEXT PROVIDED FOR YOUR ANSWER BUT USE IT AS A REASONING LOGIC TO PROVIDE YOUR ANSWER."
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "C3Li2OwYebUs6Dmg",
"name": "InfraNodus Expert"
}
},
"typeVersion": 4.2
},
{
"id": "401b9dc0-c51e-4fe9-87cd-be393c5bd66e",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2592,
-976
],
"parameters": {
"color": 6,
"width": 540,
"height": 760,
"content": "## 配备专家的AI聊天机器人代理"
},
"typeVersion": 1
},
{
"id": "8f70c71d-84bc-43cd-a13c-550ca6da336a",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-224,
-32
],
"parameters": {
"width": 520,
"height": 1220,
"content": ""
},
"typeVersion": 1
},
{
"id": "c6d16d77-1aed-4fa8-a7aa-fb7fc6974469",
"name": "便签9",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-32
],
"parameters": {
"width": 520,
"height": 1216,
"content": "## 2. 推理专家重新表述用户查询"
},
"typeVersion": 1
},
{
"id": "3d1fe3e7-dbd5-4b13-a62c-97ee5fa42046",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-576,
-48
],
"parameters": {
"height": 768,
"content": "## 3. 增强后的查询发送到知识库并使用GraphRAG检索响应"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2bb0a437-1815-4bff-bdd4-600faa19b456",
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Prompt Augmented with Reasoning Ontology",
"type": "main",
"index": 0
}
]
]
},
"Prompt Augmented with Reasoning Ontology": {
"main": [
[
{
"node": "Ask the Knowledge Base",
"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?
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
使用Gemini RAG管道构建文档专家聊天机器人
使用Gemini RAG管道构建文档专家聊天机器人
Set
Html
Filter
+16
48 节点Lucas Peyrin
内部知识库
最轻量AI聊天机器人(带知识库)
构建集成InfraNodus知识图谱的AI聊天机器人,提供增强响应
Form
Form Trigger
Http Request
+1
5 节点InfraNodus
客服机器人
🤖 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
具有Graph RAG知识本体的推理专家
使用GraphRAG和知识本体为AI代理创建自定义推理模式
Agent
Http Request Tool
Chat Trigger
+3
8 节点InfraNodus
工程
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
文档 RAG 和聊天代理:Google Drive 到 Qdrant 与 Mistral OCR
文档 RAG 和聊天代理:Google Drive 到 Qdrant 与 Mistral OCR
If
Set
Code
+16
40 节点DIGITAL BIZ TECH
内部知识库
工作流信息
难度等级
中级
节点数量7
分类2
节点类型3
作者
InfraNodus
@infranodusI'm Dmitry, the founder of InfraNodus — an AI text network analysis tool. I'm passionate about networks and data visualization and its ability to reveal what everyone else is missing and to highlight different perspectives. I'm sharing the n8n templates that make use of this unique capability of InfraNodus for multiple scenarios.
外部链接
在 n8n.io 查看 →
分享此工作流