3.30学习笔记

黄永兴学习笔记/StudySpringAI/.idea/.gitignore

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+# 默认忽略的文件
+/shelf/
+/workspace.xml
+# 已忽略包含查询文件的默认文件夹
+/queries/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
+# 基于编辑器的 HTTP 客户端请求
+/httpRequests/

黄永兴学习笔记/StudySpringAI/.idea/MarsCodeWorkspaceAppSettings.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="com.codeverse.userSettings.MarscodeWorkspaceAppSettingsState">
+    <option name="chatAppRouterInfo" value="builder/69c9f63d3b54644cf72884fa" />
+    <option name="progress" value="1.0" />
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/compiler.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="CompilerConfiguration">
+    <annotationProcessing>
+      <profile name="Maven default annotation processors profile" enabled="true">
+        <sourceOutputDir name="target/generated-sources/annotations" />
+        <sourceTestOutputDir name="target/generated-test-sources/test-annotations" />
+        <outputRelativeToContentRoot value="true" />
+        <module name="SpringAIEmbedding" />
+        <module name="SpringAIQuickStart" />
+      </profile>
+    </annotationProcessing>
+  </component>
+  <component name="JavacSettings">
+    <option name="ADDITIONAL_OPTIONS_OVERRIDE">
+      <module name="SpringAIEmbedding" options="-parameters" />
+      <module name="SpringAIQuickStart" options="-parameters" />
+    </option>
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/encodings.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Encoding">
+    <file url="file://$PROJECT_DIR$/SpringAIEmbedding/src/main/java" charset="UTF-8" />
+    <file url="file://$PROJECT_DIR$/SpringAIQuickStart/src/main/java" charset="UTF-8" />
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/jarRepositories.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="RemoteRepositoriesConfiguration">
+    <remote-repository>
+      <option name="id" value="central-portal-snapshots" />
+      <option name="name" value="Central Portal Snapshots" />
+      <option name="url" value="https://central.sonatype.com/repository/maven-snapshots/" />
+    </remote-repository>
+    <remote-repository>
+      <option name="id" value="central" />
+      <option name="name" value="Central Repository" />
+      <option name="url" value="https://repo.maven.apache.org/maven2" />
+    </remote-repository>
+    <remote-repository>
+      <option name="id" value="spring-milestones" />
+      <option name="name" value="Spring Milestones" />
+      <option name="url" value="https://repo.spring.io/milestone" />
+    </remote-repository>
+    <remote-repository>
+      <option name="id" value="central" />
+      <option name="name" value="Maven Central repository" />
+      <option name="url" value="https://repo1.maven.org/maven2" />
+    </remote-repository>
+    <remote-repository>
+      <option name="id" value="spring-snapshots" />
+      <option name="name" value="Spring Snapshots" />
+      <option name="url" value="https://repo.spring.io/snapshot" />
+    </remote-repository>
+    <remote-repository>
+      <option name="id" value="jboss.community" />
+      <option name="name" value="JBoss Community repository" />
+      <option name="url" value="https://repository.jboss.org/nexus/content/repositories/public/" />
+    </remote-repository>
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ExternalStorageConfigurationManager" enabled="true" />
+  <component name="MavenProjectsManager">
+    <option name="originalFiles">
+      <list>
+        <option value="$PROJECT_DIR$/SpringAIQuickStart/pom.xml" />
+        <option value="$PROJECT_DIR$/SpringAIEmbedding/pom.xml" />
+      </list>
+    </option>
+  </component>
+  <component name="ProjectRootManager" version="2" languageLevel="JDK_17" project-jdk-name="17" project-jdk-type="JavaSDK">
+    <output url="file://$PROJECT_DIR$/out" />
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/StudySpringAI.iml" filepath="$PROJECT_DIR$/StudySpringAI.iml" />
+    </modules>
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/.gitignore

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+HELP.md
+target/
+.mvn/wrapper/maven-wrapper.jar
+!**/src/main/**/target/
+!**/src/test/**/target/
+
+### STS ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### IntelliJ IDEA ###
+.idea
+*.iws
+*.iml
+*.ipr
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+build/
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### VS Code ###
+.vscode/

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/.mvn/wrapper/maven-wrapper.properties

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+wrapperVersion=3.3.4
+distributionType=only-script
+distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.14/apache-maven-3.9.14-bin.zip

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/pom.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>org.springframework.boot</groupId>
+        <artifactId>spring-boot-starter-parent</artifactId>
+        <version>3.5.13</version>
+        <relativePath/> <!-- lookup parent from repository -->
+    </parent>
+    <groupId>com.example</groupId>
+    <artifactId>SpringAIEmbedding</artifactId>
+    <version>0.0.1-SNAPSHOT</version>
+    <name>SpringAIEmbedding</name>
+    <description>SpringAIEmbedding</description>
+    <url/>
+    <licenses>
+        <license/>
+    </licenses>
+    <developers>
+        <developer/>
+    </developers>
+    <scm>
+        <connection/>
+        <developerConnection/>
+        <tag/>
+        <url/>
+    </scm>
+    <properties>
+        <java.version>17</java.version>
+        <spring-ai.version>1.1.3</spring-ai.version>
+    </properties>
+
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>org.springframework.ai</groupId>
+                <artifactId>spring-ai-bom</artifactId>
+                <version>1.0.0-SNAPSHOT</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
+        <!-- Spring AI Zhipuai 模型依赖 -->
+        <dependency>
+            <groupId>org.springframework.ai</groupId>
+            <artifactId>spring-ai-starter-model-zhipuai</artifactId>
+        </dependency>
+
+        <!-- Spring AI Chat 客户端依赖 中包括TokenTextSplitter、TextReader、Document 等工具类 -->
+        <dependency>
+            <groupId>org.springframework.ai</groupId>
+            <artifactId>spring-ai-client-chat</artifactId>
+            <version>1.0.0</version>
+        </dependency>
+    </dependencies>
+
+
+    <!-- 声明仓库，用于获取 Spring AI 以及相关预发布版本 -->
+    <repositories>
+        <!-- Spring Milestones 仓库 -->
+        <repository>
+            <id>spring-milestones</id>
+            <name>Spring Milestones</name>
+            <url>https://repo.spring.io/milestone</url>
+            <snapshots>
+                <enabled>false</enabled>
+            </snapshots>
+        </repository>
+        <!-- Spring Snapshots 仓库 -->
+        <repository>
+            <id>spring-snapshots</id>
+            <name>Spring Snapshots</name>
+            <url>https://repo.spring.io/snapshot</url>
+            <releases>
+                <enabled>false</enabled>
+            </releases>
+            <snapshots>
+                <enabled>true</enabled>
+            </snapshots>
+        </repository>
+    </repositories>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.springframework.boot</groupId>
+                <artifactId>spring-boot-maven-plugin</artifactId>
+            </plugin>
+        </plugins>
+    </build>
+
+</project>

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/SpringAiEmbeddingApplication.java

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+package com.example.springaiembedding;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class SpringAiEmbeddingApplication {
+
+    public static void main(String[] args) {
+        SpringApplication.run(SpringAiEmbeddingApplication.class, args);
+    }
+
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/controller/EmbeddingController.java

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+package com.example.springaiembedding.controller;
+
+import com.example.springaiembedding.service.TextSimilarityService;
+import jakarta.annotation.Resource;
+import jakarta.servlet.http.HttpServlet;
+import jakarta.servlet.http.HttpServletResponse;
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+import java.util.Arrays;
+import java.util.Map;
+
+@RestController
+@RequestMapping("/ai")
+public class EmbeddingController {
+
+    @Autowired
+    private EmbeddingModel embeddingModel;
+
+    //对用户传入的文本进行向量化处理，测试embedding模型
+
+    @RequestMapping("/embedding")
+    public Map<String,Object> embedding(
+            @RequestParam(value = "message",defaultValue = "给我讲个笑话") String message
+    ){
+
+        // 对用户传入的文本进行向量化处理
+        float[] embedding = embeddingModel.embed(message);
+
+        return Map.of("message",message,
+                      "vector",embedding);
+    }
+
+
+    @Resource
+    private TextSimilarityService textSimilarityService;
+
+    /**
+     * 查找相似文本接口
+     * @param message 查询文本
+     * @return 相似文本+相似度
+     */
+    @GetMapping("/similarity")
+    public Map<String, Double> findSimilarText(@RequestParam String message) {
+        // 查询Top3相似文本
+        return textSimilarityService.findSimilarTexts(message, 3);
+    }
+
+
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/controller/RagController.java

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+package com.example.springaiembedding.controller;
+
+import com.example.springaiembedding.service.RagService;
+import jakarta.annotation.Resource;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+
+@RestController
+@RequestMapping("/ai/rag")
+public class RagController {
+    @Resource
+    private RagService ragService;
+
+    // 问答接口
+    @GetMapping("/query")
+    public String query(@RequestParam String question) {
+        return ragService.generateAnswer(question);
+    }
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/service/RagService.java

@@ -0,0 +1,87 @@
+package com.example.springaiembedding.service;
+
+import com.example.springaiembedding.tool.DocumentLoader;
+import jakarta.annotation.PostConstruct;
+import jakarta.annotation.Resource;
+import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.embedding.EmbeddingResponse;
+import org.springframework.stereotype.Service;
+
+import java.io.IOException;
+import java.util.*;
+import java.util.stream.Collectors;
+
+@Service
+public class RagService {
+    @Resource
+    private EmbeddingModel embeddingModel;
+    @Resource
+    private ChatModel chatModel;
+
+    // 内存存储：知识库片段 → 对应向量
+    private Map<String, float[]> knowledgeVectors = new HashMap<>();
+
+    // 项目启动时自动加载并向量化知识库
+    @PostConstruct
+    public void initKnowledgeBase() throws IOException {
+        // 1. 加载并拆分文档
+        List<String> chunks = DocumentLoader.loadAndSplit("knowledge.txt");
+        // 2. 批量向量化（一次请求生成所有片段向量）
+        EmbeddingResponse embeddingResponse = embeddingModel.embedForResponse(chunks);
+        // 3. 存储片段与向量的映射
+        for (int i = 0; i < chunks.size(); i++) {
+            knowledgeVectors.put(chunks.get(i), embeddingResponse.getResults().get(i).getOutput());
+        }
+    }
+
+    // 检索与用户问题最相似的 Top N 片段
+    private List<String> retrieveSimilarChunks(String query, int topN) {
+        // 1. 用户问题向量化
+        float[] queryVector = embeddingModel.embed(query);
+        // 2. 计算与所有知识库片段的相似度
+        Map<String, Double> similarityMap = new HashMap<>();
+        //Entry是什么？Map.Entry<String, float[]> entry 是一个 Map.Entry 对象，用于遍历 Map 中的键值对。
+        for (Map.Entry<String, float[]> entry : knowledgeVectors.entrySet()) {
+            similarityMap.put(entry.getKey(), CosineSimilarityCalculator.calculate(queryVector, entry.getValue()));
+        }
+        // 3. 按相似度降序排序，取 Top N
+        return similarityMap.entrySet().stream()
+                .sorted(Collections.reverseOrder(Map.Entry.comparingByValue()))
+                .limit(topN)
+                .map(Map.Entry::getKey)
+                .collect(Collectors.toList());
+    }
+
+    // 生成最终回答
+    public String generateAnswer(String query) {
+        // 1. 检索相似片段（取 Top 2）
+        List<String> similarChunks = retrieveSimilarChunks(query, 2);
+        // 2. 拼接 Prompt（约束模型基于知识库回答）
+        StringBuilder prompt = new StringBuilder();
+        prompt.append("请基于以下知识库内容回答用户问题，禁止编造信息：\n");
+        for (String chunk : similarChunks) {
+            prompt.append("- ").append(chunk).append("\n");
+        }
+        prompt.append("\n用户问题：").append(query);
+        // 3. 调用 Chat 模型生成回答
+        ChatClient chatClient = ChatClient.builder(chatModel).build();
+        return chatClient.prompt().user(prompt.toString()).call().content();
+    }
+
+    public class CosineSimilarityCalculator {
+        // 计算两个 float[] 向量的余弦相似度
+        public static double calculate(float[] vectorA, float[] vectorB) {
+            double dotProduct = 0.0;
+            double normA = 0.0;
+            double normB = 0.0;
+            for (int i = 0; i < vectorA.length; i++) {
+                dotProduct += vectorA[i] * vectorB[i];
+                normA += Math.pow(vectorA[i], 2);
+                normB += Math.pow(vectorB[i], 2);
+            }
+            return dotProduct / (Math.sqrt(normA) * Math.sqrt(normB));
+        }
+    }
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/service/TextSimilarityService.java

@@ -0,0 +1,93 @@
+package com.example.springaiembedding.service;
+
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.embedding.EmbeddingResponse;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Service;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+@Service
+public class TextSimilarityService {
+
+    @Autowired
+    private EmbeddingModel embeddingModel;
+
+    // 模拟本地文本库（可替换为数据库/向量库）
+    private final List<String> TEXT_LIBRARY = Arrays.asList(
+            "我爱Java编程",
+            "SpringBoot是最流行的后端框架",
+            "人工智能改变世界",
+            "大模型应用开发",
+            "我喜欢学习编程",
+            "向量数据库用于存储Embedding",
+            "SpringAI简化大模型开发"
+    );
+
+    /**
+     * 查找最相似的文本
+     * @param queryText 查询文本
+     * @param topN 返回前N条结果
+     * @return 相似文本+相似度
+     */
+
+    public Map<String, Double> findSimilarTexts(String queryText, int topN) {
+        // 1. 将查询文本转为向量
+        //float[] queryVector = embeddingModel.embed(queryText);
+        EmbeddingResponse queryEmbedding = embeddingModel.embedForResponse(List.of(queryText));
+        float[] queryVector = queryEmbedding.getResults().get(0).getOutput();
+
+        // 2. 将文本库所有文本转为向量
+        // 2. 将文本库所有文本转为向量
+        Map<String, float[]> textVectorMap = new HashMap<>();
+        for (String text : TEXT_LIBRARY) {
+            float[] textVector = embeddingModel.embed(text);
+            //put是将文本和向量存储到Map中
+            textVectorMap.put(text, textVector);
+        }
+
+        // 3. 计算相似度并排序
+        Map<String, Double> similarityMap = new HashMap<>();
+        for (Map.Entry<String, float[]> entry : textVectorMap.entrySet()) {
+            double similarity = CosineSimilarityCalculator.calculate(queryVector, entry.getValue());
+            similarityMap.put(entry.getKey(), similarity);
+        }
+
+        // 4. 按相似度降序排序，取TopN
+        return similarityMap.entrySet().stream()
+                .sorted(Collections.reverseOrder(Map.Entry.comparingByValue()))
+                .limit(topN)
+                .collect(Collectors.toMap(
+                        Map.Entry::getKey,
+                        Map.Entry::getValue,
+                        (oldValue, newValue) -> oldValue,
+                        LinkedHashMap::new
+                ));
+    }
+
+    /**
+     * 余弦相似度工具类（计算文本向量相似度）
+     */
+    public class CosineSimilarityCalculator {
+
+        /**
+         * 计算两个向量的余弦相似度
+         * @param vectorA 向量A
+         * @param vectorB 向量B
+         * @return 相似度 0~1，值越大越相似
+         */
+        public static double calculate(float[] vectorA, float[] vectorB) {
+            double dotProduct = 0.0;
+            double normA = 0.0;
+            double normB = 0.0;
+
+            for (int i = 0; i < vectorA.length; i++) {
+                dotProduct += vectorA[i] * vectorB[i];
+                normA += Math.pow(vectorA[i], 2);
+                normB += Math.pow(vectorB[i], 2);
+            }
+            return dotProduct / (Math.sqrt(normA) * Math.sqrt(normB));
+        }
+}
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/java/com/example/springaiembedding/tool/DocumentLoader.java

@@ -0,0 +1,28 @@
+package com.example.springaiembedding.tool;
+
+import org.springframework.core.io.ClassPathResource;
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.stream.Collectors;
+
+
+// 文档加载工具类
+public class DocumentLoader {
+    // 加载并拆分知识库文档
+    public static List<String> loadAndSplit(String resourcePath) throws IOException {
+        ClassPathResource resource = new ClassPathResource(resourcePath); // 从类路径加载资源
+        BufferedReader reader = new BufferedReader(new InputStreamReader(resource.getInputStream())); // 按行读取
+        String content = reader.lines().collect(Collectors.joining("\n"));   // 读取文件内容，将所有行连接起来一个字符串
+
+        // 按 "---" 拆分片段，过滤空内容
+        List<String> chunks = new ArrayList<>();
+        for (String chunk : content.split("---")) {
+            String trimmed = chunk.trim();
+            if (!trimmed.isEmpty()) chunks.add(trimmed);
+        }
+        return chunks;
+    }
+}

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/resources/application.properties

@@ -0,0 +1,21 @@
+spring.application.name=SpringAIEmbedding
+
+server.port=8080
+
+## ????AI ????
+# Embedding ??
+spring.ai.zhipuai.api-key=c721340a438942d0942148b48a22e50e.5VCKagzmQdyHpwyc
+spring.ai.zhipuai.base-url=https://open.bigmodel.cn/api/paas
+
+# Embedding ??
+spring.ai.zhipuai.embedding-model=embedding-2
+# Chat ??
+spring.ai.zhipuai.chat.options.model=GLM-4.7-Flash
+
+# ??????
+logging.pattern.console=%-5level %logger - %msg%n
+
+
+
+
+

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/main/resources/knowledge.txt

@@ -0,0 +1,8 @@
+---
+Spring AI 是一个用于简化大模型应用开发的框架，支持智谱AI、OpenAI 等多种大模型厂商。
+---
+智谱AI Embedding 模型可将文本转换为向量，用于语义检索、相似匹配等场景。
+---
+RAG（检索增强生成）通过检索本地知识库内容，辅助大模型生成更准确的回答，避免幻觉。
+---
+Spring AI 提供 EmbeddingModel 和 ChatModel 接口，让开发者快速接入大模型能力。

黄永兴学习笔记/StudySpringAI/SpringAIEmbedding/src/test/java/com/example/springaiembedding/SpringAiEmbeddingApplicationTests.java

@@ -0,0 +1,13 @@
+package com.example.springaiembedding;
+
+import org.junit.jupiter.api.Test;
+import org.springframework.boot.test.context.SpringBootTest;
+
+@SpringBootTest
+class SpringAiEmbeddingApplicationTests {
+
+    @Test
+    void contextLoads() {
+    }
+
+}

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/.gitignore

@@ -0,0 +1,33 @@
+HELP.md
+target/
+.mvn/wrapper/maven-wrapper.jar
+!**/src/main/**/target/
+!**/src/test/**/target/
+
+### STS ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### IntelliJ IDEA ###
+.idea
+*.iws
+*.iml
+*.ipr
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+build/
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### VS Code ###
+.vscode/

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/.mvn/wrapper/maven-wrapper.properties

@@ -0,0 +1,3 @@
+wrapperVersion=3.3.4
+distributionType=only-script
+distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.14/apache-maven-3.9.14-bin.zip

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/pom.xml

@@ -0,0 +1,104 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>org.springframework.boot</groupId>
+        <artifactId>spring-boot-starter-parent</artifactId>
+        <version>3.5.13</version>
+        <relativePath/> <!-- lookup parent from repository -->
+    </parent>
+    <groupId>com.example</groupId>
+    <artifactId>SpringAIQuickStart</artifactId>
+    <version>0.0.1-SNAPSHOT</version>
+    <name>SpringAIQuickStart</name>
+    <description>SpringAIQuickStart</description>
+    <url/>
+    <licenses>
+        <license/>
+    </licenses>
+    <developers>
+        <developer/>
+    </developers>
+    <scm>
+        <connection/>
+        <developerConnection/>
+        <tag/>
+        <url/>
+    </scm>
+    <properties>
+        <java.version>17</java.version>
+    </properties>
+
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>org.springframework.ai</groupId>
+                <artifactId>spring-ai-bom</artifactId>
+                <version>1.0.0-SNAPSHOT</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
+
+        <!-- Spring AI Deepseek 模型依赖 -->
+        <dependency>
+            <groupId>org.springframework.ai</groupId>
+            <artifactId>spring-ai-starter-model-deepseek</artifactId>
+        </dependency>
+
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-test</artifactId>
+            <scope>test</scope>
+        </dependency>
+    </dependencies>
+
+    <!-- 声明仓库，用于获取 Spring AI 以及相关预发布版本 -->
+    <repositories>
+        <!-- Spring Milestones 仓库 -->
+        <repository>
+            <id>spring-milestones</id>
+            <name>Spring Milestones</name>
+            <url>https://repo.spring.io/milestone</url>
+            <snapshots>
+                <enabled>false</enabled>
+            </snapshots>
+        </repository>
+        <!-- Spring Snapshots 仓库 -->
+        <repository>
+            <id>spring-snapshots</id>
+            <name>Spring Snapshots</name>
+            <url>https://repo.spring.io/snapshot</url>
+            <releases>
+                <enabled>false</enabled>
+            </releases>
+            <snapshots>
+                <enabled>true</enabled>
+            </snapshots>
+        </repository>
+    </repositories>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.springframework.boot</groupId>
+                <artifactId>spring-boot-maven-plugin</artifactId>
+            </plugin>
+        </plugins>
+    </build>
+
+</project>

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/src/main/java/com/example/springaiquickstart/SpringAiQuickStartApplication.java

@@ -0,0 +1,13 @@
+package com.example.springaiquickstart;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class SpringAiQuickStartApplication {
+
+    public static void main(String[] args) {
+        SpringApplication.run(SpringAiQuickStartApplication.class, args);
+    }
+
+}

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/src/main/java/com/example/springaiquickstart/controller/ChatController.java

@@ -0,0 +1,127 @@
+package com.example.springaiquickstart.controller;
+
+
+import jakarta.servlet.http.HttpServlet;
+import jakarta.servlet.http.HttpServletResponse;
+import org.springframework.ai.chat.messages.AssistantMessage;
+import org.springframework.ai.chat.messages.Message;
+import org.springframework.ai.chat.messages.SystemMessage;
+import org.springframework.ai.chat.messages.UserMessage;
+import org.springframework.ai.chat.model.ChatResponse;
+import org.springframework.ai.chat.model.Generation;
+import org.springframework.ai.chat.prompt.ChatOptions;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.deepseek.DeepSeekChatModel;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.http.HttpRequest;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+import reactor.core.publisher.Flux;
+
+import java.util.Arrays;
+import java.util.List;
+
+@RestController
+@RequestMapping("/ai")
+public class ChatController {
+
+    @Autowired
+    private DeepSeekChatModel chatModel;
+
+    // 与模型直接对话，返回字符串响应
+    @GetMapping("/generate")
+    public String generate(@RequestParam(value = "message",defaultValue = "你好,你是谁？") String message) {
+        System.out.println("message: " + message);
+
+        // 与模型直接对话，调用chatModel的call方法生成响应
+        String response = chatModel.call(message);
+
+        System.out.println("response: " + response);
+
+        return response;
+    }
+
+    // 与模型对话，流式返回内容
+    @GetMapping("/generateStream1")
+    public Flux<ChatResponse> generateStream1(@RequestParam(value = "message",defaultValue = "你好,你是谁？") String message) {
+        System.out.println("message: " + message);
+
+        // 与模型对话，流式返回内容
+        Prompt prompt = new Prompt(message);
+        Flux<ChatResponse> stream = chatModel.stream(prompt);
+
+        System.out.println("stream: " + stream);
+
+        return stream;
+    }
+
+    // 与模型对话，流式返回内容，转换为字符串流
+    // 解决中文乱码问题
+    // 用lambda表达式简化
+    @GetMapping("/generateStream2")
+    public Flux<String> generateStream2(
+            @RequestParam(value = "message",defaultValue = "你好,你是谁？") String message,
+            HttpServletResponse response
+    ) {
+        //设置字符编码为UTF-8,解决中文乱码问题
+        response.setCharacterEncoding("UTF-8");
+        System.out.println("message: " + message);
+
+        // 与模型对话，流式返回内容
+        Prompt prompt = new Prompt(message);
+        Flux<ChatResponse> stream = chatModel.stream(prompt);
+
+        // 转换为字符串流，用lambda表达式简化
+        Flux<String> result = stream.map(ChatResponse ->
+            ChatResponse.getResult().getOutput().getText()
+        );
+        // 转换为字符串流，用方法引用简化
+//        Flux<String> result = stream.map(ChatResponse::getResult)
+//                .map(Generation::getOutput)
+//                .map(AssistantMessage::getText);
+
+
+        System.out.println("result: " + result);
+
+        return result;
+    }
+
+    //运行时设置模型参数
+    @GetMapping("/runtimeOptions")
+    public Flux<String> runtimeOptions(
+            @RequestParam(value = "message",defaultValue = "你好,你是谁？") String message,
+            @RequestParam(value = "temperature",required = false) Double temp,
+            HttpServletResponse response
+    ) {
+        //设置字符编码为UTF-8,解决中文乱码问题
+        response.setCharacterEncoding("UTF-8");
+        // 构建系统提示
+        SystemMessage systemMessage = new SystemMessage("你是一个资深Java开发工程师，回答要简洁专业");
+        // 构建用户消息
+        UserMessage userMessage = new UserMessage(message);
+        // 构建历史消息（多轮对话时加入）
+        List<Message> messages = Arrays.asList(systemMessage, userMessage);
+
+        // 封装成 Prompt，还可以设置模型参数
+        Prompt prompt = new Prompt(messages,
+                ChatOptions.builder()
+                        .temperature(temp)
+                        .maxTokens(1000)
+                        .build()
+        );
+
+        // 流式调用
+        Flux<ChatResponse> stream = chatModel.stream(prompt);
+        // 转换为字符串流，用lambda表达式简化
+        Flux<String> result = stream.map(ChatResponse ->
+            ChatResponse.getResult().getOutput().getText()
+        );
+
+        System.out.println("result: " + result);
+        return result;
+    }
+
+
+}

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/src/main/resources/application.properties

@@ -0,0 +1,13 @@
+spring.application.name=SpringAIQuickStart
+
+server.port=8080
+
+#?? Deepseek ???????url?????????
+spring.ai.deepseek.base-url=https://api.deepseek.com
+spring.ai.deepseek.api-key=sk-ccbfe09f433148129cd98df6150653e8
+spring.ai.deepseek.chat.options.model=deepseek-chat
+
+#??0-2???0????????2???????
+spring.ai.deepseek.chat.options.temperature=0.8
+
+

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/src/main/resources/static/index.html

@@ -0,0 +1,224 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Spring AI 聊天助手</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <link href="https://cdn.jsdelivr.net/npm/font-awesome@4.7.0/css/font-awesome.min.css" rel="stylesheet">
+    <script>
+        tailwind.config = {
+            theme: {
+                extend: {
+                    colors: {
+                        primary: '#3b82f6',
+                        secondary: '#64748b',
+                        neutral: '#f8fafc',
+                        dark: '#1e293b'
+                    },
+                    fontFamily: {
+                        sans: ['Inter', 'system-ui', 'sans-serif']
+                    }
+                }
+            }
+        }
+    </script>
+    <style type="text/tailwindcss">
+        @layer utilities {
+            .content-auto {
+                content-visibility: auto;
+            }
+            .chat-message {
+                @apply p-4 rounded-lg mb-4 max-w-[80%];
+            }
+            .user-message {
+                @apply bg-primary text-white self-end;
+            }
+            .ai-message {
+                @apply bg-neutral border border-gray-200 text-dark self-start;
+            }
+        }
+    </style>
+</head>
+<body class="bg-gray-50 min-h-screen flex flex-col">
+    <!-- 顶部导航栏 -->
+    <header class="bg-white shadow-sm">
+        <div class="container mx-auto px-4 py-4 flex justify-between items-center">
+            <div class="flex items-center space-x-2">
+                <i class="fa fa-robot text-primary text-2xl"></i>
+                <h1 class="text-xl font-bold text-dark">Spring AI 聊天助手</h1>
+            </div>
+            <div class="text-sm text-secondary">
+                <span id="status" class="flex items-center">
+                    <span class="w-2 h-2 bg-green-500 rounded-full mr-2"></span>
+                    在线
+                </span>
+            </div>
+        </div>
+    </header>
+
+    <!-- 主内容区 -->
+    <main class="flex-1 container mx-auto px-4 py-8 max-w-4xl">
+        <!-- 聊天区域 -->
+        <div class="bg-white rounded-xl shadow-md overflow-hidden">
+            <!-- 聊天头部 -->
+            <div class="bg-primary text-white p-4">
+                <h2 class="text-lg font-semibold">AI 助手</h2>
+                <p class="text-sm opacity-80">基于 DeepSeek 模型</p>
+            </div>
+            
+            <!-- 聊天消息区 -->
+            <div id="chat-messages" class="p-4 h-[500px] overflow-y-auto flex flex-col space-y-4">
+                <!-- 欢迎消息 -->
+                <div class="chat-message ai-message">
+                    <div class="flex items-start">
+                        <div class="w-8 h-8 rounded-full bg-primary text-white flex items-center justify-center mr-3 flex-shrink-0">
+                            <i class="fa fa-robot"></i>
+                        </div>
+                        <div>
+                            <p class="font-semibold mb-1">AI 助手</p>
+                            <p>你好！我是基于 DeepSeek 模型的 AI 助手，有什么可以帮助你的吗？</p>
+                        </div>
+                    </div>
+                </div>
+            </div>
+            
+            <!-- 输入区域 -->
+            <div class="p-4 border-t">
+                <form id="chat-form" class="flex space-x-2">
+                    <input 
+                        type="text" 
+                        id="message-input" 
+                        placeholder="输入消息..." 
+                        class="flex-1 border border-gray-300 rounded-lg px-4 py-2 focus:outline-none focus:ring-2 focus:ring-primary focus:border-transparent"
+                    >
+                    <button 
+                        type="submit" 
+                        id="send-button" 
+                        class="bg-primary text-white rounded-lg px-6 py-2 hover:bg-primary/90 transition-colors flex items-center space-x-2"
+                    >
+                        <span>发送</span>
+                        <i class="fa fa-paper-plane"></i>
+                    </button>
+                </form>
+            </div>
+        </div>
+        
+        <!-- 功能说明 -->
+        <div class="mt-8 bg-white rounded-xl shadow-md p-6">
+            <h3 class="text-lg font-semibold mb-4">功能说明</h3>
+            <ul class="space-y-2 text-secondary">
+                <li class="flex items-center">
+                    <i class="fa fa-check-circle text-green-500 mr-2"></i>
+                    支持自然语言对话
+                </li>
+                <li class="flex items-center">
+                    <i class="fa fa-check-circle text-green-500 mr-2"></i>
+                    基于 DeepSeek 大语言模型
+                </li>
+                <li class="flex items-center">
+                    <i class="fa fa-check-circle text-green-500 mr-2"></i>
+                    实时响应生成
+                </li>
+                <li class="flex items-center">
+                    <i class="fa fa-check-circle text-green-500 mr-2"></i>
+                    简洁美观的用户界面
+                </li>
+            </ul>
+        </div>
+    </main>
+
+    <!-- 页脚 -->
+    <footer class="bg-white shadow-sm mt-8">
+        <div class="container mx-auto px-4 py-4 text-center text-secondary text-sm">
+            <p>© 2026 Spring AI 聊天助手 | 基于 DeepSeek 模型</p>
+        </div>
+    </footer>
+
+    <script>
+        document.addEventListener('DOMContentLoaded', function() {
+            const chatForm = document.getElementById('chat-form');
+            const messageInput = document.getElementById('message-input');
+            const chatMessages = document.getElementById('chat-messages');
+            const sendButton = document.getElementById('send-button');
+            const status = document.getElementById('status');
+
+            // 发送消息
+            chatForm.addEventListener('submit', function(e) {
+                e.preventDefault();
+                const message = messageInput.value.trim();
+                if (message) {
+                    // 添加用户消息到聊天区
+                    addMessage('user', message);
+                    messageInput.value = '';
+                    
+                    // 禁用发送按钮
+                    sendButton.disabled = true;
+                    sendButton.classList.add('opacity-50');
+                    status.innerHTML = '<span class="w-2 h-2 bg-yellow-500 rounded-full mr-2"></span>处理中...';
+                    
+                    // 调用后端 API
+                    fetch(`/ai/generate?message=${encodeURIComponent(message)}`)
+                        .then(response => response.text())
+                        .then(data => {
+                            // 添加 AI 响应到聊天区
+                            addMessage('ai', data);
+                        })
+                        .catch(error => {
+                            console.error('Error:', error);
+                            addMessage('ai', '抱歉，处理请求时出错，请稍后再试。');
+                        })
+                        .finally(() => {
+                            // 恢复发送按钮状态
+                            sendButton.disabled = false;
+                            sendButton.classList.remove('opacity-50');
+                            status.innerHTML = '<span class="w-2 h-2 bg-green-500 rounded-full mr-2"></span>在线';
+                        });
+                }
+            });
+
+            // 添加消息到聊天区
+            function addMessage(type, content) {
+                const messageDiv = document.createElement('div');
+                messageDiv.className = `chat-message ${type === 'user' ? 'user-message' : 'ai-message'} self-${type === 'user' ? 'end' : 'start'}`;
+                
+                if (type === 'user') {
+                    messageDiv.innerHTML = `
+                        <div class="flex items-start justify-end">
+                            <div>
+                                <p class="font-semibold mb-1 text-right">你</p>
+                                <p>${content}</p>
+                            </div>
+                            <div class="w-8 h-8 rounded-full bg-gray-300 text-dark flex items-center justify-center ml-3 flex-shrink-0">
+                                <i class="fa fa-user"></i>
+                            </div>
+                        </div>
+                    `;
+                } else {
+                    messageDiv.innerHTML = `
+                        <div class="flex items-start">
+                            <div class="w-8 h-8 rounded-full bg-primary text-white flex items-center justify-center mr-3 flex-shrink-0">
+                                <i class="fa fa-robot"></i>
+                            </div>
+                            <div>
+                                <p class="font-semibold mb-1">AI 助手</p>
+                                <p>${content}</p>
+                            </div>
+                        </div>
+                    `;
+                }
+                
+                chatMessages.appendChild(messageDiv);
+                chatMessages.scrollTop = chatMessages.scrollHeight;
+            }
+
+            // 回车键发送消息
+            messageInput.addEventListener('keypress', function(e) {
+                if (e.key === 'Enter') {
+                    chatForm.dispatchEvent(new Event('submit'));
+                }
+            });
+        });
+    </script>
+</body>
+</html>

黄永兴学习笔记/StudySpringAI/SpringAIQuickStart/src/test/java/com/example/springaiquickstart/SpringAiQuickStartApplicationTests.java

@@ -0,0 +1,13 @@
+package com.example.springaiquickstart;
+
+import org.junit.jupiter.api.Test;
+import org.springframework.boot.test.context.SpringBootTest;
+
+@SpringBootTest
+class SpringAiQuickStartApplicationTests {
+
+    @Test
+    void contextLoads() {
+    }
+
+}

黄永兴学习笔记/StudySpringAI/StudySpringAI.iml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="GENERAL_MODULE" version="4">
+  <component name="NewModuleRootManager" inherit-compiler-output="true">
+    <exclude-output />
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>