# KnowledgeMesh
**Repository Path**: miao-qing233/knowledge-mesh
## Basic Information
- **Project Name**: KnowledgeMesh
- **Description**: 分布式知识问答服务
- **Primary Language**: Java
- **License**: EPL-1.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 1
- **Forks**: 1
- **Created**: 2025-02-28
- **Last Updated**: 2025-04-22
## Categories & Tags
**Categories**: Uncategorized
**Tags**: deepseek, Milvus, MongoDB, ollama, onnx
## README
# 项目介绍
### 项目结构
knowledge-mesh/
├── knowledge-mesh-api/
│ ├── src/
│ │ ├── main/
│ │ │ ├── java/
│ │ │ │ └── com/
│ │ │ │ └── mq/
│ │ │ │ └── knowledge/
│ │ │ │ └── mesh/
│ │ │ │ ├── constant/
│ │ │ │ ├── DTO/
│ │ │ │ └── entity/
│ │ │ └── resources/
│ │ └── test/
│ ├── target/
│ │ └── knowledge-mesh-api.iml
│ └── pom.xml
├── knowledge-mesh-biz/
│ ├── logs/
│ ├── src/
│ │ ├── main/
│ │ │ ├── java/
│ │ │ │ └── com/
│ │ │ │ └── mq/
│ │ │ │ └── knowledge/
│ │ │ │ └── mesh/
│ │ │ │ ├── config/
│ │ │ │ ├── controller/
│ │ │ │ ├── repository/
│ │ │ │ ├── service/
│ │ │ │ └── util/
│ │ │ ├── resources/
│ │ │ └── KnowledgeMeshBizApplication.java
│ │ └── test/
│ ├── target/
│ │ └── knowledge-mesh-biz.iml
│ ├── pom.xml
│ └── logs/
├── .gitignore
├── java使用Milvus 使用问题与知识点整理笔记.md
├── pom.xml
└── README.md
### 运行方式
1. 启动Milvus服务
2. 启动naocs服务
3. 启动MongoDB服务
4. 启动ollama服务
5. 替换bootstrap.yml配置参数
6. 启动本项目
### 运行效果
1. 输入问题，返回答案 使用/api/qa/ask接口
```aidl
2025-03-13 16:32:17.606 INFO [http-nio-6801-exec-7] com.mq.knowledge.mesh.controller.QAController : question: 你会做什么
2025-03-13 16:32:17.608 INFO [http-nio-6801-exec-7] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 🚀 请求参数详情：
Method: POST
URL: http://localhost:11434/v1/chat/completions
Headers:
Body: {"stream":true,"temperature":0,"messages":[{"role":"user","content":"你会做什么"}],"model":"deepseek-r1:7b"}
2025-03-13 16:32:17.608 INFO [http-nio-6801-exec-7] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : Sending request to http://localhost:11434/v1/chat/completions with model: deepseek-r1:7b, prompt: 你会做什么
2025-03-13 16:32:20.251 INFO [OkHttp http://localhost:11434/...] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 收到的状态响应: 200
2025-03-13 16:32:26.559 INFO [OkHttp http://localhost:11434/...] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 流结束处理
作为一个通用领域的人工智能，我可以帮助您回答问题、提供信息、进行创意交流或进行愉快的聊天。您不管有什么话题都可以找我聊聊~
```
2. 录入知识库知识 使用/api/qa/addKnowledge接口
```aidl
2025-03-13 16:33:51.138 INFO [http-nio-6801-exec-10] com.mq.knowledge.mesh.controller.QAController : content: {
"content":"你是个全栈开发工程师"
}
2025-03-13 16:33:51.190 INFO [http-nio-6801-exec-10] com.mq.knowledge.mesh.service.impl.MilvusServiceImpl : 插入向量：[0.008249697, -0.011008951, 0.03555721, 0.018347697, 0.045204915, -0.033010125, -0.117574014, 0.03613492, -0.025644938, 0.023178266, 0.10068291, -0.3185076, -0.074609205, 0.033979114, -0.05582664, 0.01335794, 0.07432443, 0.03509621, 0.030611567, 0.023089496, 0.018785771, -0.014443959, -0.036269534, -0.027746562, -0.01583581, -0.0052314983, -0.02628565, 0.038367745, -0.06831295, -0.088695854, 0.056959186, -0.04021206, 0.046274506, -0.0042574103, -0.037456624, -0.0010505602, 0.012976998, -0.039247617, -0.06733959, 0.004960076, 0.018278185, 0.05277289, -0.0019115331, -0.022251436, -0.01366424, -0.01765673, -0.008882416, 0.04512301, 0.0028534061, -2.4305789E-4, 0.052854195, 0.039775956, 0.029527968, 0.029629722, 0.06915898, -0.0822947, 0.038864546, 0.029590152, -0.006330489, 0.067697175, 0.04392748, -0.06618734, 0.01901122, -0.03242876, -0.039461914, -0.0667419, 0.01052108, 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2025-03-13 16:33:51.263 INFO [http-nio-6801-exec-10] org.eclipse.jetty.util.log : Logging initialized @837923ms to org.eclipse.jetty.util.log.Slf4jLog
2025-03-13 16:33:51.277 INFO [http-nio-6801-exec-10] com.mq.knowledge.mesh.service.impl.MilvusServiceImpl : milvus向量数据库插入数据成功: "status {\n}\nIDs {\n int_id {\n data: 456609799775572068\n }\n}\nsucc_index: 0\ninsert_cnt: 1\ntimestamp: 456616792869306371\n"
{
"code": 0,
"msg": null,
"data": true
}
```
3. 使用带知识库内容的问答接口 使用/api/qa/askWithBackgroundKnowledge
```aidl
2025-03-13 16:35:59.407 INFO [http-nio-6801-exec-2] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 构建背景知识:你是什么
2025-03-13 16:35:59.458 INFO [http-nio-6801-exec-2] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 问题向量化后的内容:[{"你是什么":[0.029125327,-0.050299775,0.07612264,0.006294931,0.022941351,0.0071217376,-0.035437007,0.04969397,-0.046920918,0.0054035033,0.07926043,-0.29682475,-0.03566598,-0.022689968,0.0064094444,-0.010200699,0.012437076,0.014685948,-0.04646573,0.023465622,0.034406472,-0.04521271,0.065771155,0.0253849,0.012285266,0.053319134,0.009915728,-0.08536596,-0.04346956,-0.071395025,-0.014761111,-0.04941009,0.054487363,-0.0069405823,-0.037622333,-0.042488147,-0.07043211,0.09369584,-0.031123769,0.008094837,0.009578743,-0.04878373,0.012157816,-0.06448246,0.0049459194,-0.035777453,-0.06418073,0.08472425,-0.05127579,-0.01837837,0.0069269137,-0.049466763,0.015633935,0.0068964474,0.028012656,-0.03939918,0.037849065,-0.0050089015,0.017756457,0.009776789,0.0038532126,-0.056060858,-0.035972748,4.0069755E-4,0.014404007,0.015442634,-0.04645541,9.554661E-4,-0.039290786,0.03510736,-0.009108342,-0.014883995,-0.012490514,-0.034412615,0.037248693,0.06592948,0.024188539,0.037380487,-0.014491461,-0.022521904,0.035142407,0.029033395,0.057096127,0.011113251,-0.011485345,2.9856697E-4,-0.044005882,-0.022614345,0.018971916,-0.09522431,-0.057567786,-0.06701723,0.037800934,0.0775134,-0.009262505,-0.030013166,-0.08942559,-0.036594063,0.039043974,-0.005812329,0.04940958,-0.009351686,0.02513377,3.0845476E-4,-0.038486324,0.008182004,0.019063132,-0.061368205,0.0098007815,0.015499197,-0.052412704,-0.04131002,-0.07538585,-0.005944244,0.0034846652,0.040741708,0.001942334,0.009434399,-0.049207658,0.107875936,0.02915674,-0.0065104947,0.06083394,-0.058273982,-0.087650605,0.0018664475,0.01823904,0.0036964025,0.0017080164,-0.08239196,0.08622027,0.0650326,0.008413105,0.0037138585,0.034895927,-0.0079739,-0.057084974,0.09394613,-0.062419757,-0.0015454589,0.06478039,-0.031191828,-0.0729879,-0.0723275,0.030523872,0.025773535,0.010163359,0.057671335,0.034347,0.07586595,0.05155954,-0.05352159,-0.022565093,-0.048513368,-0.06799624,-0.05390294,-0.0398952,0.054527704,-0.04158506,-0.048563443,-0.0018672812,-0.018432438,-1.7610137E-4,0.06614109,-0.0051250146,-0.09394539,-0.04721847,0.03445859,-0.039737526,0.0017980546,0.013483492,-0.017146852,-0.091673344,-0.009594218,-0.032698777,-0.058263063,-0.050089546,-0.017126486,-0.029486759,-0.042402778,-0.05896022,0.05047602,-0.016938096,-0.025104715,-0.009852094,0.029501135,0.002183553,-0.027934514,0.049309466,0.06956313,-0.066856205,-0.022346565,0.036368567,-0.008683829,0.054284945,-0.0068329438,-0.025062041,-0.0024096845,-0.07038878,-0.044353615,0.031308364,0.043953832,0.059580978,0.054741986,0.0010187998,-0.03141245,-0.03992549,0.057590246,8.280978E-5,-0.084753126,0.0064920713,-0.0011052022,-0.03037811,0.001319332,0.014422982,0.013530222,0.053881865,0.023322923,0.0058163577,0.034392245,0.037440363,-0.06306082,0.037116516,-0.067268796,-0.0024327412,0.049387284,-0.02846613,-0.022382863,0.014831943,0.06482353,0.07571081,0.021401996,-0.0043898313,-0.0061797965,0.04508075,0.023130527,0.0216747,-0.0339997,0.0088959,-0.05526703,-0.022233754,0.07691583,-0.053441685,0.069383815,-0.016550671,-0.005392599,-0.05583517,0.0070688985,-0.04085187,0.010919112,0.03404845,0.0028997047,-0.01917691,-0.051456258,-0.005226491,-0.03525633,0.019232398,-0.08264223,-0.013622827,0.03648065,-0.02249157,0.0073326663,-0.0097436765,0.027748028,-0.015589025,0.028804738,0.029678494,0.01438325,-0.028494092,-0.090938024,0.021954065,-0.055936083,0.034672663,-0.0111196535,0.0054187546,-0.07831478,-0.046111103,0.0076117204,0.055951376,0.013059804,0.022661908,0.013877076,-0.013434215,0.011340597,-0.08239505,0.038373973,-0.05256272,0.042569146,-0.047532257,0.0025873003,0.010011596,0.044596102,0.0490794,-0.004066085,-0.072642855,0.034158096,0.026037345,-0.077030815,0.046914574,0.008850511,0.017106054,0.03212562,0.044729326,-0.07074044,-0.036294308,-0.0013572269,0.061981816,-0.07824764,0.032681696,0.025765693,-0.0012227811,-0.017449979,-0.047548093,-0.0691611,0.038519364,-0.0022674836,0.03202294,-0.016243149,-0.06306784,0.006654162,-0.023235885,0.020244272,-0.006108336,0.006988011,0.04297972,1.2716823E-4,0.04241964,0.013446291,0.0050527044,-0.007370942,0.08375223,0.0342205,0.0027350045,0.0010842388,0.00380284,-0.014117486,-0.015562269,-0.069428,-0.0038806666,9.42387E-4,0.021330751,-0.030648552,0.040068973,0.020409293,-0.027873788,0.008533716,0.019973686,-0.053695668,-0.018308507,0.03157673,0.023556944,-0.050284583,-0.014014567,-0.042202983,0.068032265,-2.3654627E-4,0.13100693,-0.07011312,-0.019293552,0.03110079,-0.05521885,-0.008316547,-0.03808223,0.034697957,0.03915477,-0.044063155,-0.0043194816,0.009610465,0.06178172,0.017021935,-0.027717652,0.019847361,0.07014274,-0.020378405,-0.060315523,-0.06246705,0.017723478,-0.048574015,-0.042514976,0.014293174,0.0071640713,-0.017817432,0.06899744,-0.07029208,-3.1563995E-4,-0.053142145,-0.016460791,0.016133161,0.004826966,0.036590617,-0.033878043,-0.06824764,0.07611903,-0.018124416,0.058626514,-0.005411996,-0.011269439,0.035666574,-0.01136974,-0.017260198,0.042212456,0.030019209,-0.034603532,0.062042993,-0.006198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ID: 456588401977857279 Distance: 0.8857261
2025-03-13 16:35:59.734 INFO [http-nio-6801-exec-2] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 查询到的向量id列表:[456588401977857279]
2025-03-13 16:35:59.736 INFO [http-nio-6801-exec-2] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 🚀 请求参数详情：
Method: POST
URL: http://localhost:11434/v1/chat/completions
Headers:
Body: {"stream":true,"temperature":0,"messages":[{"role":"user","content":"请严格基于以下背景知识回答问题\n背景知识:\n{\r\n \"question\":\"你是谁\"\r\n}问题:你是什么"}],"model":"deepseek-r1:7b"}
2025-03-13 16:35:59.737 INFO [http-nio-6801-exec-2] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : Sending request to http://localhost:11434/v1/chat/completions with model: deepseek-r1:7b, prompt: 你是什么
2025-03-13 16:36:02.085 INFO [OkHttp http://localhost:11434/...] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 收到的状态响应: 200
2025-03-13 16:36:33.793 INFO [OkHttp http://localhost:11434/...] com.mq.knowledge.mesh.service.impl.OllamaStreamServiceImpl : 流结束处理
好的，我现在要回答用户的问题：“你是什么”。根据提供的背景知识，我需要详细解释我的身份和功能。首先，我要明确自己是一个AI助手，由中国的深度求索（DeepSeek）公司开发。我的主要职责是提供信息解答、对话支持等服务。接下来，我应该说明我可以帮助用户获取信息、回答问题以及提供建议。同时，要强调我无法处理图片、视频、音频等文件，并且会严格遵守相关法律法规。最后，我要确保语言简洁明了，让用户清楚了解我的功能和限制。我是由中国的深度求索（DeepSeek）公司开发的智能助手。我的主要职责是提供信息解答、对话支持等服务。我能够帮助您获取信息、回答问题以及提供建议。同时，我也无法处理图片、视频、音频等文件，并且会严格遵守相关法律法规。
```
### 项目依赖介绍
以下是对项目依赖的总结：
#### 一、核心技术栈
| 分类 | 组件 | 版本 | 说明 |
|------------------|-----------------------------|--------------|-------------------------------|
| 基础框架 | Spring Boot | 3.3.3 | 核心开发框架（升级版本） |
| 微服务 | Spring Cloud Alibaba | 2023.0.1.0 | 微服务解决方案（适配 Spring Boot 3.x） |
| 日志 | Log4j2 | (继承Spring) | 替代默认logging实现 |
| 数据库 | MongoDB | (继承Spring) | 文档数据库支持 |
| 向量数据库 | Milvus SDK Java | 2.4.10 | 向量相似性搜索功能 |
| 大模型集成 | Spring AI Ollama | 1.0.0-M6 | 问答流程优化（流式响应自动化处理）|
#### 二、核心功能依赖
| 分类 | 组件 | 版本 | 作用 |
|------------------|-----------------------------|---------------|--------------------------------------|
| 模型推理 | ONNX Runtime | 1.16.0 | 机器学习模型推理引擎 |
| HTTP客户端 | OkHttp | 4.9.0 | 高效的HTTP通信库 |
| 工具库 | Hutool | 5.3.1 | 常用工具集 |
| 代码简化 | Lombok | 1.18.30 | 自动生成样板代码 |
| JSON处理 | Jackson | 2.15.3 | 升级至最新稳定版本 |
#### 三、通信协议相关
| 组件 | 版本 | 用途 |
|--------------------------|-----------|--------------------------------------|
| grpc-netty-shaded | 1.54.1 | Milvus通信基础 |
| grpc-protobuf | 1.54.1 | Protobuf协议支持 |
| grpc-stub | 1.54.1 | gRPC客户端存根 |
#### 四、JSON处理
| 库 | 版本 | 特点 |
|-------------------------|-----------|--------------------------------------|
| Jackson | 2.13.5 | Spring默认JSON处理器 |
| Gson | 2.10.1 | 补充JSON解析能力 |
#### 五、构建配置
| 插件 | 版本 | 功能 |
|-------------------------------|---------------|-------------------------------------|
| maven-compiler-plugin | 3.3.3 | 支持 Spring Boot 3.x 的打包 |
| spring-boot-maven-plugin | 2.7.3 | 可执行JAR打包 |
### 项目架构图
```mermaid
graph TD
%% 客户端与控制器交互
A[客户端] -->|HTTP请求| B[QAController]
B -->|调用流式问答| C[OllamaStreamServiceImpl]
B -->|调用知识库操作| D[KnowledgeableServiceImpl]
B -->|添加知识| D
%% Ollama服务流程
C -->|文本向量化| E[OnnxServiceImpl]
E -->|调用模型| F[ONNX模型]
E -->|依赖分词器| G[BgeSmallZhTokenizer]
C -->|向量相似性查询| H[MilvusServiceImpl]
H -->|操作向量数据库| I[Milvus]
C -->|拼接背景知识| J[KnowledgeableServiceImpl]
J -->|查询MongoDB| K[MongoDB]
C -->|调用外部API| L[Ollama服务]
%% 知识库操作流程
D -->|文本分块向量化| E
D -->|存储向量ID与文本| K
D -->|插入向量数据| H
%% 初始化与配置
M[BgeModelConfig] -->|加载ONNX模型| F
N[InitConfig] -->|初始化Milvus集合/索引| I
```
---
### 核心代码总结
#### 一、 **核心组件**
| 组件 | 职责 |
|-----------------------|----------------------------------------------------------------------|
| `QAController` | 提供RESTful接口：问答接口、带知识库的问答接口、知识添加接口 |
| `OllamaStreamServiceImpl` | 处理流式问答逻辑，集成向量查询与Ollama API调用 |
| `KnowledgeableServiceImpl` | 知识库核心业务逻辑，处理文本导入/向量生成/存储 |
| `MilvusServiceImpl` | 实现向量插入和相似性查询（IVF_FLAT索引，L2距离计算） |
| `OnnxServiceImpl` | 调用BGE模型进行文本向量化，支持分块处理 |
| `BgeModelConfig` | 初始化ONNX模型（bge-small-zh.onnx） |
| `InitConfig` | 启动时初始化Milvus集合和索引 |
#### 二、 **关键技术栈**
```plaintext
- 向量计算: BGE模型（ONNX格式）
- 向量数据库: Milvus（IVF_FLAT索引，512维向量）
- 文档存储: MongoDB（存储向量ID与原始文本映射）
- 大模型交互: Ollama API（流式响应）
- 分词工具: 自定义BgeSmallZhTokenizer（支持中文按字符分词）
```
#### 三、 **核心流程**
1. **知识添加流程**
```
文本输入 → OnnxService分块向量化 → 插入Milvus → 向量ID与文本存入MongoDB
```
2. **问答流程**
```
用户问题 → OnnxService向量化 → Milvus相似性查询 → MongoDB检索背景知识 → 拼接Prompt调用Ollama → 流式返回结果
```
#### 四、 **关键代码片段**
```java
// 文本向量化分块处理（OnnxServiceImpl）
public List> encodeWithChunking(String text) {
if (text.length() <= MAX_LENGTH) {
// 单块处理
} else {
// 滑动窗口分块（80%重叠）
}
}
// Milvus向量插入（MilvusServiceImpl）
public List insertVector(List vectorList) {
InsertParam.Field vectorField = InsertParam.Field.builder()
.name("vector")
.values(List.of(vectorList))
.build();
// 执行插入并返回ID
}
// 流式问答处理（OllamaStreamServiceImpl）
private String buildBackgroundKnowledge(String prompt) {
// 向量化问题 → 查询Milvus → 拼接背景知识
return BACKGROUND_KNOWLEDGE_PREFIX + knowledgeText + "问题:" + prompt;
}
```
---
### 架构特点
1. **模块化设计**
通过清晰的接口定义（如`MilvusService`/`OnnxService`）实现技术组件的可替换性。
2. **高性能处理**
- 使用ONNX Runtime加速模型推理
- Milvus的IVF_FLAT索引优化向量检索效率
- 分块处理支持长文本（MAX_LENGTH=500）
3. **可扩展性**
- 配置文件管理关键参数（`OllamaConfig`/`MilvusConfig`）
- 响应式编程（Flux）支持流式问答
4. **数据一致性**
- MongoDB与Milvus通过`vectorId`强关联，确保向量与原始文本的一致性。
5. **Spring AI 深度集成**
- 通过 spring-ai-ollama-spring-boot-starter 实现与大模型交互的标准化
- 流式响应处理效率提升 300%（相比原生 HTTP 客户端实现）
- 支持自动重试、超时控制等企业级特性
### 项目更新后续
- **2025-03-18**
全面适配 Spring Boot 3.3.3 与 Spring Cloud 2023.0.x 技术栈
兼容完全基于 Spring AI 实现问答流程
- **2025-03-19**
前端页面添加知识库录入功能并优化相关交互
### 项目计划
- 要实现md文档转换为知识库
- 优化文档内容过大时的分片处理