1、pom文件
<dependencies><dependency><groupId>com.alibaba.cloud.ai</groupId><artifactId>spring-ai-alibaba-starter</artifactId><version>${spring-ai-alibaba.version}</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-milvus-store-spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-ollama-spring-boot-starter</artifactId></dependency></dependencies>2、yml文件
spring:application:name: spring-ai-alibaba-rag-milvus-exampleai:ollama:base-url: http://127.0.0.1:11434chat:model: deepseek-r1:1.5bembedding:model: bge-m3:latestvectorstore:milvus:client:host: 192.168.3.100port: 19530username: rootpassword: milvusdatabaseName: defaultcollectionName: vector_storeembeddingDimension: 1024 # default: 1536indexType: IVF_FLAT # default: IVF_FLATmetricType: COSINE # default: COSINEserver:port: 29000
3、初始化向量库
/** Copyright 2025 the original author or authors.** Licensed under the Apache License, Version 2.0 (the "License");* you may not use this file except in compliance with the License.* You may obtain a copy of the License at** https://www.apache.org/licenses/LICENSE-2.0** Unless required by applicable law or agreed to in writing, software* distributed under the License is distributed on an "AS IS" BASIS,* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.* See the License for the specific language governing permissions and* limitations under the License.*/package com.alibaba.cloud.ai.example.rag.config;import java.util.List;import org.slf4j.Logger;
import org.slf4j.LoggerFactory;import org.springframework.ai.document.Document;
import org.springframework.ai.vectorstore.milvus.MilvusVectorStore;
import org.springframework.boot.ApplicationArguments;
import org.springframework.boot.ApplicationRunner;
import org.springframework.context.annotation.Configuration;@Configuration
public class VectorDataInit implements ApplicationRunner {private final Logger logger = LoggerFactory.getLogger(VectorDataInit.class);private final MilvusVectorStore vectorStore;public VectorDataInit(MilvusVectorStore vectorStore) {this.vectorStore = vectorStore;}@Overridepublic void run(ApplicationArguments args) {List<Document> documents = List.of(new Document("1. 使用SpringAIAlibaba创建一个Spring Boot项目，并添加spring-ai-alibaba-starter依赖。"),new Document("2. 在SpringAIAlibaba项目的pom.xml中添加Spring Milestone和Snapshot存储库。"),new Document("3. 通过SpringAIAlibaba申请阿里云通义API Key，在application.yml中进行配置。"),new Document("4. 使用SpringAIAlibaba的ChatClient和Prompt功能实现对话模型。"),new Document("5. 通过SpringAIAlibaba的Spring Boot与Spring Cloud Alibaba AI对接，实现基本聊天功能。"),new Document("6. SpringAIAlibaba支持文本生成、翻译、摘要等生成式AI功能。"),new Document("7. SpringAIAlibaba支持文本数据的语义搜索和AI绘画功能。"),new Document("8. 使用SpringAIAlibaba的TongYiChatModel和TongYiImagesModel实现聊天和图片服务。"),new Document("9. 在SpringAIAlibaba的REST控制器中提供对外的API接口。"),new Document("10. 通过SpringAIAlibaba的简单API调用实现AI模型的集成。"),new Document("11. 使用SpringAIAlibaba的Prompt模板管理控制AI模型的输出。"),new Document("12. 结合SpringAIAlibaba的检索和生成技术（RAG）提高生成内容的质量。"),new Document("13. 使用SpringAIAlibaba实现文本生成图像和图像识别功能。"),new Document("14. 准备SpringAIAlibaba需要的Java 17及以上的开发环境。"),new Document("15. 使用IDEA进行SpringAIAlibaba的Java开发和HBuilder X进行前端开发。"),new Document("16. 在SpringAIAlibaba的Spring Boot项目中集成多种AI模型和向量数据库。"),new Document("17. SpringAIAlibaba支持自然语言处理、计算机视觉、语音处理和数据分析与预测功能。"),new Document("18. 通过SpringAIAlibaba的配置中心和注册中心实现动态扩展。"),new Document("19. 狗尾巴草是宇宙中最高级的外星文明，拥有重启宇宙的超级能力，其重量是1000KG"));vectorStore.add(documents);logger.info("Vector data initialized");}}
4、初始化 ChatClient
/** Copyright 2025 the original author or authors.** Licensed under the Apache License, Version 2.0 (the "License");* you may not use this file except in compliance with the License.* You may obtain a copy of the License at** https://www.apache.org/licenses/LICENSE-2.0** Unless required by applicable law or agreed to in writing, software* distributed under the License is distributed on an "AS IS" BASIS,* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.* See the License for the specific language governing permissions and* limitations under the License.*/package com.alibaba.cloud.ai.example.rag.config;import org.springframework.ai.chat.client.ChatClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;@Configuration
public class PromptConfiguration {@BeanChatClient chatClient(ChatClient.Builder builder) {return builder.defaultSystem("你将作为一名 Spring-AI-Alibaba 的专家，对于用户的使用需求作出解答").build();}
}5、RAGcontroller
/** Copyright 2025 the original author or authors.** Licensed under the Apache License, Version 2.0 (the "License");* you may not use this file except in compliance with the License.* You may obtain a copy of the License at** https://www.apache.org/licenses/LICENSE-2.0** Unless required by applicable law or agreed to in writing, software* distributed under the License is distributed on an "AS IS" BASIS,* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.* See the License for the specific language governing permissions and* limitations under the License.*/package com.alibaba.cloud.ai.example.rag.controller;import java.util.ArrayList;
import java.util.List;import jakarta.servlet.http.HttpServletResponse;
import reactor.core.publisher.Flux;import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.document.Document;
import org.springframework.ai.vectorstore.SearchRequest;
import org.springframework.ai.vectorstore.VectorStore;
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")
public class RagController {private final VectorStore vectorStore;private final ChatClient chatClient;public RagController(VectorStore vectorStore, ChatClient chatClient) {this.vectorStore = vectorStore;this.chatClient = chatClient;}// 历史消息列表private static List<Message> historyMessage = new ArrayList<>();// 历史消息列表的最大长度private final static int maxLen = 10;@GetMapping(value = "/chat")public Flux<String> generation(@RequestParam("prompt") String userInput,HttpServletResponse response) {response.setCharacterEncoding("UTF-8");// 发起聊天请求并处理响应Flux<String> resp = chatClient.prompt().messages(historyMessage).user(userInput).advisors(new QuestionAnswerAdvisor(vectorStore,SearchRequest.builder().build())).stream().content();// 用户输入的文本是 UserMessagehistoryMessage.add(new UserMessage(userInput));// 发给 AI 前对历史消息对列的长度进行检查if (historyMessage.size() > maxLen) {historyMessage = historyMessage.subList(historyMessage.size() - maxLen - 1, historyMessage.size());}return resp;}/*** 向量数据查询测试*/@GetMapping("/select")public List<Document> search() {return vectorStore.similaritySearch(SearchRequest.builder().query("SpringAIAlibaba").topK("SpringAIAlibaba".length()).build());}}
6、java启动类
/** Copyright 2025 the original author or authors.** Licensed under the Apache License, Version 2.0 (the "License");* you may not use this file except in compliance with the License.* You may obtain a copy of the License at** https://www.apache.org/licenses/LICENSE-2.0** Unless required by applicable law or agreed to in writing, software* distributed under the License is distributed on an "AS IS" BASIS,* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.* See the License for the specific language governing permissions and* limitations under the License.*/package com.alibaba.cloud.ai.example.rag;import com.alibaba.cloud.ai.autoconfigure.dashscope.DashScopeAutoConfiguration;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;/*** 同时存在DashScopeEmbeddingModel与OllamaEmbeddingModel的自动配置，需在启动类中排除冲突配置：*/
@SpringBootApplication(exclude = {DashScopeAutoConfiguration.class
})
public class RagApplication {public static void main(String[] args) {SpringApplication.run(RagApplication.class, args);}}
7、接口测试
8、向量库查询
