spring-ai-alibaba官方 Playground 示例

1、Spring AI Alibaba 官方社区开发了一个包含完整 “前端UI+后端实现” 的智能体 Playground 示例，示例使用 Spring AI Alibaba 开发，可以体验聊天机器人、多轮对话、图片生成、多模态、工具调用、MCP集成、RAG知识库等所有框架核心能力。

2、界面

3、准备工作 jdk17  ，

阿里云百炼api-key 对应环境变量 AI_DASHSCOPE_API_KEY

百度云翻译 ak 对应环境变量 BAIDU_TRANSLATE_APP_ID

百度云翻译sk对应环境变量 BAIDU_TRANSLATE_SECRET_KEY

百度云地图ak对应环境变量  BAIDU_MAP_API_KEY

阿里云信息查询服务iqs-search api-key对应环境变量 IQS_SEARCH_API_KEY

4、pom文件内容

<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><artifactId>spring-ai-alibaba-playground</artifactId><groupId>com.alibaba.cloud.ai</groupId><version>0.0.1</version><description>Spring AI Alibaba Playground</description><name>Spring AI Alibaba Playground</name><properties><spring-boot.version>3.4.0</spring-boot.version><spring-ai.version>1.0.0</spring-ai.version><spring-ai-alibaba.version>1.0.0.2</spring-ai-alibaba.version><!-- Node and npm --><node.version>v20.12.2</node.version><npm.version>10.9.2</npm.version><!-- For playground frontend resource. dist has been placed in the resource directory,if you have the problem of secondary development or local front-end project failure to start,please set this development to true, and run the "mvn clean package" to repackage the front-end project.If you don't modify this configuration, you can compile the frontend andcopy the frontend resources by executing "mvn clean package -Dnpm.build.skip=false". --><npm.build.skip>true</npm.build.skip><zipkin.version>3.4.3</zipkin.version><micrometr.version>1.5.0-M2</micrometr.version><jackson.version>2.15.0</jackson.version><hibernate.version>6.6.9.Final</hibernate.version><sqlite-jdbc.version>3.49.1.0</sqlite-jdbc.version><knife4j.version>4.6.0</knife4j.version><javacv-platform.version>1.5.9</javacv-platform.version><maven.compiler.source>17</maven.compiler.source><maven.compiler.target>17</maven.compiler.target><maven-deploy-plugin.version>3.1.1</maven-deploy-plugin.version><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding></properties><dependencies><dependency><groupId>ch.qos.logback</groupId><artifactId>logback-classic</artifactId><version>1.5.18</version></dependency><dependency><groupId>ch.qos.logback</groupId><artifactId>logback-core</artifactId><version>1.5.18</version></dependency><!-- Spring Boot Starter --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId><exclusions><exclusion><artifactId>logback-classic</artifactId><groupId>ch.qos.logback</groupId></exclusion><exclusion><artifactId>logback-core</artifactId><groupId>ch.qos.logback</groupId></exclusion></exclusions></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-webflux</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-validation</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-aop</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-jpa</artifactId></dependency><!-- Spring AI --><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-tika-document-reader</artifactId><version>${spring-ai.version}</version></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-starter-mcp-client</artifactId><version>${spring-ai.version}</version></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-autoconfigure-mcp-client</artifactId><version>${spring-ai.version}</version></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-starter-model-openai</artifactId><version>${spring-ai.version}</version></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-markdown-document-reader</artifactId><version>${spring-ai.version}</version></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-advisors-vector-store</artifactId><version>${spring-ai.version}</version></dependency><!-- Spring AI Alibaba --><dependency><groupId>com.alibaba.cloud.ai</groupId><artifactId>spring-ai-alibaba-starter-dashscope</artifactId><version>${spring-ai-alibaba.version}</version></dependency><dependency><groupId>com.alibaba.cloud.ai</groupId><artifactId>spring-ai-alibaba-starter-memory</artifactId><version>${spring-ai-alibaba.version}</version></dependency><dependency><groupId>com.alibaba.cloud.ai</groupId><artifactId>spring-ai-alibaba-starter-store-analyticdb</artifactId><version>${spring-ai-alibaba.version}</version></dependency><!-- Swagger API Docs --><dependency><groupId>com.github.xingfudeshi</groupId><artifactId>knife4j-openapi3-jakarta-spring-boot-starter</artifactId><version>${knife4j.version}</version></dependency><!--DB --><dependency><groupId>org.xerial</groupId><artifactId>sqlite-jdbc</artifactId><version>${sqlite-jdbc.version}</version></dependency><dependency><groupId>org.hibernate.orm</groupId><artifactId>hibernate-community-dialects</artifactId><version>${hibernate.version}</version></dependency><!-- Observable --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-actuator</artifactId></dependency><dependency><groupId>io.micrometer</groupId><artifactId>micrometer-tracing-bridge-brave</artifactId><version>${micrometr.version}</version><exclusions><exclusion><artifactId>slf4j-api</artifactId><groupId>org.slf4j</groupId></exclusion></exclusions></dependency><dependency><groupId>io.zipkin.reporter2</groupId><artifactId>zipkin-reporter-brave</artifactId><version>${zipkin.version}</version></dependency><!-- Others --><dependency><groupId>com.fasterxml.jackson.dataformat</groupId><artifactId>jackson-dataformat-yaml</artifactId><version>${jackson.version}</version></dependency><dependency><groupId>org.bytedeco</groupId><artifactId>javacv-platform</artifactId><version>${javacv-platform.version}</version></dependency><dependency><groupId>com.google.guava</groupId><artifactId>guava</artifactId><version>33.4.0-jre</version></dependency></dependencies><dependencyManagement><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-dependencies</artifactId><version>${spring-boot.version}</version><type>pom</type><scope>import</scope></dependency><dependency><groupId>com.alibaba.cloud.ai</groupId><artifactId>spring-ai-alibaba-bom</artifactId><version>${spring-ai-alibaba.version}</version><type>pom</type><scope>import</scope></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-bom</artifactId><version>${spring-ai.version}</version><type>pom</type><scope>import</scope></dependency></dependencies></dependencyManagement><build><finalName>app</finalName><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><version>${spring-boot.version}</version><executions><execution><goals><goal>repackage</goal></goals></execution></executions></plugin><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-deploy-plugin</artifactId><version>${maven-deploy-plugin.version}</version></plugin><plugin><groupId>com.github.eirslett</groupId><artifactId>frontend-maven-plugin</artifactId><version>1.11.0</version><executions><execution><id>install node and pnpm</id><goals><goal>install-node-and-npm</goal></goals><configuration><skip>${npm.build.skip}</skip><nodeVersion>${node.version}</nodeVersion><npmVersion>${npm.version}</npmVersion><workingDirectory>ui</workingDirectory></configuration></execution><execution><id>install pnpm</id><goals><goal>npm</goal></goals><configuration><skip>${npm.build.skip}</skip><arguments>install -g pnpm</arguments><workingDirectory>ui</workingDirectory></configuration></execution><execution><id>pnpm install</id><goals><goal>npm</goal></goals><configuration><skip>${npm.build.skip}</skip><arguments>exec -- pnpm install</arguments><workingDirectory>ui</workingDirectory></configuration></execution><execution><id>pnpm build</id><goals><goal>npm</goal></goals><phase>generate-resources</phase><configuration><skip>${npm.build.skip}</skip><arguments>exec -- pnpm build</arguments><workingDirectory>ui</workingDirectory></configuration></execution></executions></plugin><plugin><artifactId>maven-resources-plugin</artifactId><version>3.2.0</version><executions><!-- Copy frontend dist resource to static dir --><execution><id>copy-react-build</id><phase>process-resources</phase><goals><goal>copy-resources</goal></goals><configuration><skip>${npm.build.skip}</skip><outputDirectory>${project.build.outputDirectory}/static</outputDirectory><resources><resource><directory>ui/dist</directory><filtering>false</filtering></resource></resources></configuration></execution><!-- Add new execution to copy mcp-lib directory --><execution><id>copy-mcp-lib</id><phase>prepare-package</phase><goals><goal>copy-resources</goal></goals><configuration><outputDirectory>${project.build.directory}/mcp-libs</outputDirectory><resources><resource><directory>${project.basedir}/mcp-libs</directory><filtering>false</filtering></resource></resources></configuration></execution><!-- Add new execution to copy db directory --><execution><id>copy-db</id><phase>prepare-package</phase><goals><goal>copy-resources</goal></goals><configuration><outputDirectory>${project.build.directory}/db</outputDirectory><resources><resource><directory>${project.basedir}/db</directory><filtering>false</filtering></resource></resources></configuration></execution></executions></plugin></plugins></build><repositories><repository><id>spring-milestones</id><name>Spring Milestones</name><url>https://repo.spring.io/milestone</url><snapshots><enabled>false</enabled></snapshots></repository><repository><id>aliyunmaven</id><name>aliyun</name><url>https://maven.aliyun.com/repository/public</url></repository></repositories></project>

 5、rag向量库代码解析

/** Licensed to the Apache Software Foundation (ASF) under one or more* contributor license agreements.  See the NOTICE file distributed with* this work for additional information regarding copyright ownership.* The ASF licenses this file to You 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**     http://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.application.config.rag;import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.vectorstore.SimpleVectorStore;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;@Configuration
public class SimpleVectorStoreConfiguration {@BeanCommandLineRunner ingestTermOfServiceToVectorStore(VectorStoreDelegate vectorStoreDelegate) {//return args -> {String type = System.getenv("VECTOR_STORE_TYPE");//通过环境变量 VECTOR_STORE_TYPE 判断使用analyticdb向量库还是使用基于内存的向量库VectorStoreInitializer initializer = new VectorStoreInitializer();//初始化数据到向量库initializer.init(vectorStoreDelegate.getVectorStore(type));};}/*** 提供基于内存的向量存储（SimpleVectorStore）* <p>* 依赖 EmbeddingModel（自动注入，Alibaba 的嵌入模型）* @param embeddingModel* @return*/@Beanpublic VectorStore simpleVectorStore(EmbeddingModel embeddingModel) {// 向量存储的简单实现，非常适合用于教育目的return SimpleVectorStore.builder(embeddingModel).build();}@Beanpublic VectorStoreDelegate vectorStoreDelegate(@Qualifier("simpleVectorStore") VectorStore simpleVectorStore,@Qualifier("analyticdbVectorStore") @Autowired(required = false) VectorStore analyticdbVectorStore) {//注入基于内存的向量库和 analyticdbreturn new VectorStoreDelegate(simpleVectorStore, analyticdbVectorStore);}}


/** Licensed to the Apache Software Foundation (ASF) under one or more* contributor license agreements.  See the NOTICE file distributed with* this work for additional information regarding copyright ownership.* The ASF licenses this file to You 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**     http://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.application.config.rag;import java.util.Objects;import org.springframework.ai.vectorstore.VectorStore;public class VectorStoreDelegate {private VectorStore simpleVectorStore;private VectorStore analyticdbVectorStore;public VectorStoreDelegate(VectorStore simpleVectorStore, VectorStore analyticdbVectorStore) {this.simpleVectorStore = simpleVectorStore;this.analyticdbVectorStore = analyticdbVectorStore;}public VectorStore getVectorStore(String vectorStoreType) {if (Objects.equals(vectorStoreType, "analyticdb") && analyticdbVectorStore != null) {return analyticdbVectorStore;}return simpleVectorStore;}
}


/** Licensed to the Apache Software Foundation (ASF) under one or more* contributor license agreements.  See the NOTICE file distributed with* this work for additional information regarding copyright ownership.* The ASF licenses this file to You 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**     http://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.application.config.rag;import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;import org.slf4j.Logger;
import org.slf4j.LoggerFactory;import org.springframework.ai.document.Document;
import org.springframework.ai.reader.markdown.MarkdownDocumentReader;
import org.springframework.ai.transformer.splitter.TokenTextSplitter;
import org.springframework.ai.vectorstore.VectorStore;/*** @author yuluo* @author <a href="mailto:yuluo08290126@gmail.com">yuluo</a>*/
public class VectorStoreInitializer {private final Logger logger = LoggerFactory.getLogger(VectorStoreInitializer.class);public void init(VectorStore vectorStore) throws Exception {//初始化数据至向量库//读取markdown文件List<MarkdownDocumentReader> markdownDocumentReaderList = loadMarkdownDocuments();int size = 0;if (markdownDocumentReaderList.isEmpty()) {logger.warn("No markdown documents found in the directory.");return;}logger.debug("Start to load markdown documents into vector store......");for (MarkdownDocumentReader markdownDocumentReader : markdownDocumentReaderList) {
//			TokenTextSplitter是TextSplitter它使用 CL100K_BASE 编码根据Tokens计数将文本拆分为块
//
//			defaultChunkSize：每个文本块的目标大小（以 tokens 为单位）（默认值：800）。
//
//			minChunkSizeChars：每个文本块的最小大小（以字符为单位）（默认值：350）。
//
//			minChunkLengthToEmbed：要包含的 chunk 的最小长度（默认值：5）。
//
//			maxNumChunks：从文本生成的最大块数（默认值：10000）。
//
//			keepSeparator：是否在块中保留分隔符（如换行符）（默认：true）。List<Document> documents = new TokenTextSplitter(2000, 1024, 10, 10000, true).transform(markdownDocumentReader.get());size += documents.size();// 拆分 documents 列表为最大 20 个元素的子列表  也就是每次最多向向量库中添加20条数据for (int i = 0; i < documents.size(); i += 20) {int end = Math.min(i + 20, documents.size());List<Document> subList = documents.subList(i, end);vectorStore.add(subList);}}logger.debug("Load markdown documents into vector store successfully. Load {} documents.", size);}private List<MarkdownDocumentReader> loadMarkdownDocuments() throws IOException, URISyntaxException {List<MarkdownDocumentReader> readers;// 首先检查jar包当前运行目录是否存在markdown文件Path currentDirPath = Paths.get(System.getProperty("user.dir"), "rag", "markdown");if (Files.exists(currentDirPath) && Files.isDirectory(currentDirPath)) {logger.debug("Found markdown directory in current running directory: {}", currentDirPath);try (Stream<Path> paths = Files.walk(currentDirPath)) {List<Path> markdownFiles = paths.filter(Files::isRegularFile).filter(path -> path.toString().endsWith(".md")).collect(Collectors.toList());if (!markdownFiles.isEmpty()) {logger.debug("Loading {} markdown files from current directory", markdownFiles.size());readers = markdownFiles.stream().map(path -> {String filePath = path.toAbsolutePath().toString();return new MarkdownDocumentReader("file:" + filePath);}).collect(Collectors.toList());return readers;} else {logger.debug("No markdown files found in current directory, falling back to resources");}}} else {logger.debug("Markdown directory not found in current directory, falling back to resources");}// 如果当前运行目录没有找到，则从resources目录加载Path markdownDir = Paths.get(getClass().getClassLoader().getResource("rag/markdown").toURI());logger.debug("Loading markdown files from resources directory: {}", markdownDir);try (Stream<Path> paths = Files.walk(markdownDir)) {readers = paths.filter(Files::isRegularFile).filter(path -> path.toString().endsWith(".md")).map(path -> {String fileName = path.getFileName().toString();String classpathPath = "classpath:rag/markdown/" + fileName;return new MarkdownDocumentReader(classpathPath);}).collect(Collectors.toList());}return readers;}}

6、源代码地址

https://github.com/springaialibaba/spring-ai-alibaba-examples

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