example: add rag application example (#3743)

Signed-off-by: yuluo-yx <yuluo08290126@gmail.com>

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-example/pom.xml

@@ -24,7 +24,7 @@
 		<artifactId>spring-cloud-alibaba-examples</artifactId>
 		<groupId>com.alibaba.cloud</groupId>
 		<version>${revision}</version>
-		<relativePath>../pom.xml</relativePath>
+		<relativePath>../../pom.xml</relativePath>
 	</parent>
 	<modelVersion>4.0.0</modelVersion>
 

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-example/src/main/java/com/alibaba/cloud/ai/example/tongyi/service/impl/textembedding/README.md

@@ -0,0 +1,22 @@
+# Spring Cloud Alibaba AI Text Embedding
+
+`TongYiController` 接受一个 HTTP GET 请求 `http://localhost:8080/ai/audio`。
+`controller` 将会调用 `TongYiService` 中的 `genAudio` 方法，完成服务请求得到响应。
+
+有一个可选的 `text` 参数，其默认值为“Spring Cloud Alibaba AI 框架！”。 请求响应来自 Alibaba TongYi Text Embedding 服务。
+
+## 构建和运行
+
+1. 修改配置文件 `application.yml` 中的 apikey 为有效的 apikey；
+2. 通过 IDE 或者 `./mvnw spring-boot:run` 运行应用程序。
+
+## 访问接口
+
+使用 curl 工具或者使用浏览器对接口发起请求：
+
+```shell
+$ curl http://localhost:8080/ai/textEmbedding
+
+# Response: 
+为一组向量集合
+```

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/README-en.md

@@ -0,0 +1,126 @@
+# Spring Cloud Alibaba AI RAG Example
+
+This sample describes how to implement a RAG (Retrieval Augmented Generation) application using SCA AI and Spring AI RedisVector Store.
+
+> RAG is a generative model based on retrieval, which combines retrieval and generation to produce more accurate and diverse texts.
+> SCA AI: Spring Cloud Alibaba AI, adapting TongYi LLM big model through Spring AI API.
+> Spring AI: The Spring AI project aims to simplify the development of applications that include artificial intelligence features and avoid unnecessary complexity.
+> Spring AI RedisVector Store: Redis extends the core functionality of Redis OSS to allow Redis to be used as a vector database. Spring AI provides the RedisVector Store adapter.
+> Project Code Address: [spring-cloud-ai-rag-example](https://github.com/alibaba/spring-cloud-alibaba/tree/2023.x/spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example)
+
+## 1. Environmental preparation
+
+Use Docker Compose to deploy a Redis service to store vector data.
+
+```yaml
+version: '3.8'
+
+services:
+  redis:
+    image: redis/redis-stack-server
+    container_name: redis
+    hostname: redis
+    ports:
+      - 6379:6379
+```
+
+Start with `docker compose up -d`, and then you can `docker ps | grep redis` check to see if the container is running properly.
+
+## 2. Project dependency
+
+> This project introduces `spring-cloud-alibaba-ai-starter` and `spring-ai-redis-spring-boot-starter` realizes RAG application.
+
+You need to introduce the following dependencies in the POM. XML:
+
+```xml
+<dependency>
+    <groupId>com.alibaba.cloud</groupId>
+    <artifactId>spring-cloud-starter-alibaba-ai</artifactId>
+</dependency>
+
+<dependency>
+    <groupId>org.springframework.ai</groupId>
+    <artifactId>spring-ai-redis-spring-boot-starter</artifactId>
+    <version>${spring.ai.version}</version>
+</dependency>
+```
+
+## 3. Configuration
+
+Configure the following information in the application. Yml:
+
+```yaml
+spring:
+  ai:
+    vectorstore:
+      redis:
+        index: peer
+        prefix: peer
+```
+
+## 4. Write the code
+
+The `loader` classes are as follows:
+
+```java 
+@Override
+public void run(ApplicationArguments args) throws Exception {
+
+    Map<String, Object> indexInfo = vectorStore.getJedis().ftInfo(properties.getIndex());
+    int numDocs = Integer.parseInt((String) indexInfo.getOrDefault("num_docs", "0"));
+    if (numDocs > 20000) {
+        logger.info("Embeddings already loaded. Skipping");
+        return;
+    }
+
+    Resource file = data;
+    if (Objects.requireNonNull(data.getFilename()).endsWith(".gz")) {
+        GZIPInputStream inputStream = new GZIPInputStream(data.getInputStream());
+        file = new InputStreamResource(inputStream, "beers.json.gz");
+    }
+
+    logger.info("Creating Embeddings...");
+    JsonReader loader = new JsonReader(file, KEYS);
+    vectorStore.add(loader.get());
+    logger.info("Embeddings created.");
+}
+```
+
+The `Service` classes are as follows:
+
+```java
+public Generation retrieve(String message) {
+
+    SearchRequest request = SearchRequest.query(message).withTopK(topK);
+    List<Document> docs = store.similaritySearch(request);
+
+    Message systemMessage = getSystemMessage(docs);
+    UserMessage userMessage = new UserMessage(message);
+
+    Prompt prompt = new Prompt(List.of(systemMessage, userMessage));
+    ChatResponse response = client.call(prompt);
+
+    return response.getResult();
+}
+
+private Message getSystemMessage(List<Document> similarDocuments) {
+
+    String documents = similarDocuments.stream()
+            .map(Document::getContent)
+            .collect(Collectors.joining("\n"));
+    SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(systemBeerPrompt);
+
+    return systemPromptTemplate.createMessage(Map.of("documents", documents));
+}
+```
+
+## 5. Run and verify
+
+You can start the SprigBoot main class and then use a browser to access:
+
+```shell
+# request params is prompt，the default value：What ber pairs well with smoked meats?"
+http://localhost:8080/rag/chat
+```
+
+To experience the RAG application.

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/README.md

@@ -0,0 +1,126 @@
+# Spring Cloud Alibaba AI RAG Example
+
+本示例介绍如何使用 SCA AI 和 Spring AI RedisVectorStore 实现 RAG（Retrieval Augmented Generation）应用。
+
+> RAG 是一个基于检索的生成模型，它将检索和生成结合在一起，以生成更加准确和多样化的文本。
+> SCA AI: Spring Cloud Alibaba AI, 通过 Spring AI API 适配 TongYi LLM 大模型。
+> Spring AI: Spring AI项目旨在简化包含人工智能功能的应用程序的开发，避免不必要的复杂性。
+> Spring AI RedisVectorStore: Redis 扩展了 Redis OSS 的核心功能，允许将 Redis 用作矢量数据库，Spring AI 提供了 RedisVectorStore 适配器。
+> 项目代码地址：[spring-cloud-ai-rag-example](https://github.com/alibaba/spring-cloud-alibaba/tree/2023.x/spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example)
+
+## 1. 环境准备
+
+使用 Docker Compose 部署一个 Redis 服务，用于存储向量数据。
+
+```yaml
+version: '3.8'
+
+services:
+  redis:
+    image: redis/redis-stack-server
+    container_name: redis
+    hostname: redis
+    ports:
+      - 6379:6379
+```
+
+使用 `docker compose up -d` 启动，然后您可以通过 `docker ps | grep redis` 查看容器是否正常运行。
+
+## 2. 项目依赖
+
+> 本项目通过引入 `spring-cloud-alibaba-ai-starter` 和 `spring-ai-redis-spring-boot-starter` 实现 RAG 应用。
+
+您需要在 pom.xml 中引入如下依赖：
+
+```xml
+<dependency>
+    <groupId>com.alibaba.cloud</groupId>
+    <artifactId>spring-cloud-starter-alibaba-ai</artifactId>
+</dependency>
+
+<dependency>
+    <groupId>org.springframework.ai</groupId>
+    <artifactId>spring-ai-redis-spring-boot-starter</artifactId>
+    <version>${spring.ai.version}</version>
+</dependency>
+```
+
+## 3. 配置
+
+在 application.yml 中配置如下信息：
+
+```yaml
+spring:
+  ai:
+    vectorstore:
+      redis:
+        index: peer
+        prefix: peer
+```
+
+## 4. 编写代码
+
+`loader` 类如下所示：
+
+```java 
+@Override
+public void run(ApplicationArguments args) throws Exception {
+
+    Map<String, Object> indexInfo = vectorStore.getJedis().ftInfo(properties.getIndex());
+    int numDocs = Integer.parseInt((String) indexInfo.getOrDefault("num_docs", "0"));
+    if (numDocs > 20000) {
+        logger.info("Embeddings already loaded. Skipping");
+        return;
+    }
+
+    Resource file = data;
+    if (Objects.requireNonNull(data.getFilename()).endsWith(".gz")) {
+        GZIPInputStream inputStream = new GZIPInputStream(data.getInputStream());
+        file = new InputStreamResource(inputStream, "beers.json.gz");
+    }
+
+    logger.info("Creating Embeddings...");
+    JsonReader loader = new JsonReader(file, KEYS);
+    vectorStore.add(loader.get());
+    logger.info("Embeddings created.");
+}
+```
+
+`Service` 类如下所示：
+
+```java
+public Generation retrieve(String message) {
+
+    SearchRequest request = SearchRequest.query(message).withTopK(topK);
+    List<Document> docs = store.similaritySearch(request);
+
+    Message systemMessage = getSystemMessage(docs);
+    UserMessage userMessage = new UserMessage(message);
+
+    Prompt prompt = new Prompt(List.of(systemMessage, userMessage));
+    ChatResponse response = client.call(prompt);
+
+    return response.getResult();
+}
+
+private Message getSystemMessage(List<Document> similarDocuments) {
+
+    String documents = similarDocuments.stream()
+            .map(Document::getContent)
+            .collect(Collectors.joining("\n"));
+    SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(systemBeerPrompt);
+
+    return systemPromptTemplate.createMessage(Map.of("documents", documents));
+}
+```
+
+## 5. 运行并验证
+
+您可以通过启动 SprigBoot 主类，之后使用浏览器访问：
+
+```shell
+# 参数为 prompt，默认值为：What ber pairs well with smoked meats?"
+http://localhost:8080/rag/chat
+```
+
+来体验 RAG 应用。

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/docker/docker-compose.yml

@@ -0,0 +1,9 @@
+version: '3.8'
+
+services:
+  redis:
+    image: redis/redis-stack-server
+    container_name: redis
+    hostname: redis
+    ports:
+      - 6379:6379

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/pom.xml

@@ -0,0 +1,104 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+   Copyright 2023-2024 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.
+-->
+
+<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">
+
+	<parent>
+		<artifactId>spring-cloud-alibaba-examples</artifactId>
+		<groupId>com.alibaba.cloud</groupId>
+		<version>${revision}</version>
+		<relativePath>../../pom.xml</relativePath>
+	</parent>
+	<modelVersion>4.0.0</modelVersion>
+
+	<artifactId>spring-cloud-ai-rag-example</artifactId>
+	<name>Spring Cloud Starter Alibaba AI RAG Example</name>
+	<description>Example build RAG Application By Spring Cloud Alibaba AI</description>
+	<packaging>jar</packaging>
+
+	<properties>
+		<spring.ai.version>0.8.1</spring.ai.version>
+		<redis.jedis.version>5.1.0</redis.jedis.version>
+	</properties>
+
+	<dependencies>
+
+		<dependency>
+			<groupId>com.alibaba.cloud</groupId>
+			<artifactId>spring-cloud-starter-alibaba-ai</artifactId>
+		</dependency>
+
+		<dependency>
+			<groupId>org.springframework.ai</groupId>
+			<artifactId>spring-ai-redis-spring-boot-starter</artifactId>
+			<version>${spring.ai.version}</version>
+			<exclusions>
+				<exclusion>
+					<artifactId>logback-classic</artifactId>
+					<groupId>ch.qos.logback</groupId>
+				</exclusion>
+			</exclusions>
+		</dependency>
+
+		<dependency>
+			<groupId>redis.clients</groupId>
+			<artifactId>jedis</artifactId>
+			<version>${redis.jedis.version}</version>
+		</dependency>
+
+	</dependencies>
+
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.springframework.boot</groupId>
+				<artifactId>spring-boot-maven-plugin</artifactId>
+			</plugin>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-deploy-plugin</artifactId>
+				<version>${maven-deploy-plugin.version}</version>
+				<configuration>
+					<skip>true</skip>
+				</configuration>
+			</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>spring-snapshots</id>
+			<name>Spring Snapshots</name>
+			<url>https://repo.spring.io/snapshot</url>
+			<releases>
+				<enabled>false</enabled>
+			</releases>
+		</repository>
+	</repositories>
+
+</project>

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/java/com/alibaba/cloud/example/ai/rag/RAGApplication.java

@@ -0,0 +1,41 @@
+/*
+ * Copyright 2013-2023 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.example.ai.rag;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+/**
+ * @author yuluo
+ * @author <a href="mailto:yuluo08290126@gmail.com">yuluo</a>
+ */
+
+@SpringBootApplication
+public class RAGApplication {
+
+	private static final Logger logger = LoggerFactory.getLogger(RAGApplication.class);
+
+	public static void main(String[] args) {
+
+		SpringApplication.run(RAGApplication.class, args);
+		logger.info("RAGApplication started successfully.");
+	}
+
+}

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/java/com/alibaba/cloud/example/ai/rag/controller/RAGController.java

@@ -0,0 +1,50 @@
+/*
+ * Copyright 2013-2023 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.example.ai.rag.controller;
+
+import com.alibaba.cloud.example.ai.rag.service.RAGService;
+
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.CrossOrigin;
+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;
+
+/**
+ * @author yuluo
+ * @author <a href="mailto:yuluo08290126@gmail.com">yuluo</a>
+ */
+
+@CrossOrigin
+@RestController
+@RequestMapping("/rag")
+public class RAGController {
+
+	@Autowired
+	private RAGService ragService;
+
+	@GetMapping("/chat")
+	public String chatMessage(@RequestParam(value = "prompt",
+			defaultValue = "What ber pairs well with smoked meats?") String prompt) {
+
+		return ragService.retrieve(prompt)
+						.getOutput()
+						.getContent();
+	}
+
+}

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/java/com/alibaba/cloud/example/ai/rag/loader/RAGDataLoader.java

@@ -0,0 +1,83 @@
+/*
+ * Copyright 2013-2023 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.example.ai.rag.loader;
+
+import java.util.Map;
+import java.util.Objects;
+import java.util.zip.GZIPInputStream;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
+import org.springframework.ai.reader.JsonReader;
+import org.springframework.ai.vectorstore.RedisVectorStore;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.ApplicationArguments;
+import org.springframework.boot.ApplicationRunner;
+import org.springframework.core.io.InputStreamResource;
+import org.springframework.core.io.Resource;
+import org.springframework.stereotype.Component;
+
+/**
+ * @author yuluo
+ * @author <a href="mailto:yuluo08290126@gmail.com">yuluo</a>
+ */
+
+@Component
+public class RAGDataLoader implements ApplicationRunner {
+
+	private static final Logger logger = LoggerFactory.getLogger(RAGDataLoader.class);
+
+	private static final String[] KEYS = { "name", "abv", "ibu", "description" };
+
+	@Value("classpath:/data/beers.json.gz")
+	private Resource data;
+
+	private final RedisVectorStore vectorStore;
+
+	private final RedisVectorStoreProperties properties;
+
+	public RAGDataLoader(RedisVectorStore vectorStore, RedisVectorStoreProperties properties) {
+
+		this.vectorStore = vectorStore;
+		this.properties = properties;
+	}
+
+	@Override
+	public void run(ApplicationArguments args) throws Exception {
+
+		Map<String, Object> indexInfo = vectorStore.getJedis().ftInfo(properties.getIndex());
+		int numDocs = Integer.parseInt((String) indexInfo.getOrDefault("num_docs", "0"));
+		if (numDocs > 20000) {
+			logger.info("Embeddings already loaded. Skipping");
+			return;
+		}
+
+		Resource file = data;
+		if (Objects.requireNonNull(data.getFilename()).endsWith(".gz")) {
+			GZIPInputStream inputStream = new GZIPInputStream(data.getInputStream());
+			file = new InputStreamResource(inputStream, "beers.json.gz");
+		}
+
+		logger.info("Creating Embeddings...");
+		JsonReader loader = new JsonReader(file, KEYS);
+		vectorStore.add(loader.get());
+		logger.info("Embeddings created.");
+	}
+
+}

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/java/com/alibaba/cloud/example/ai/rag/service/RAGService.java

@@ -0,0 +1,85 @@
+/*
+ * Copyright 2013-2023 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.example.ai.rag.service;
+
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+
+import org.springframework.ai.chat.ChatClient;
+import org.springframework.ai.chat.ChatResponse;
+import org.springframework.ai.chat.Generation;
+import org.springframework.ai.chat.messages.Message;
+import org.springframework.ai.chat.messages.UserMessage;
+import org.springframework.ai.chat.prompt.Prompt;
+import org.springframework.ai.chat.prompt.SystemPromptTemplate;
+import org.springframework.ai.document.Document;
+import org.springframework.ai.vectorstore.SearchRequest;
+import org.springframework.ai.vectorstore.VectorStore;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.core.io.Resource;
+import org.springframework.stereotype.Service;
+
+/**
+ * @author yuluo
+ * @author <a href="mailto:yuluo08290126@gmail.com">yuluo</a>
+ */
+
+@Service
+public class RAGService {
+
+	@Value("classpath:/prompts/system-qa.st")
+	private Resource systemBeerPrompt;
+
+	@Value("${topk:10}")
+	private int topK;
+
+	private final ChatClient client;
+
+	private final VectorStore store;
+
+	public RAGService(ChatClient client, VectorStore store) {
+
+		this.client = client;
+		this.store = store;
+	}
+
+	public Generation retrieve(String message) {
+
+		SearchRequest request = SearchRequest.query(message).withTopK(topK);
+		List<Document> docs = store.similaritySearch(request);
+
+		Message systemMessage = getSystemMessage(docs);
+		UserMessage userMessage = new UserMessage(message);
+
+		Prompt prompt = new Prompt(List.of(systemMessage, userMessage));
+		ChatResponse response = client.call(prompt);
+
+		return response.getResult();
+	}
+
+	private Message getSystemMessage(List<Document> similarDocuments) {
+
+		String documents = similarDocuments.stream()
+				.map(Document::getContent)
+				.collect(Collectors.joining("\n"));
+		SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(systemBeerPrompt);
+
+		return systemPromptTemplate.createMessage(Map.of("documents", documents));
+	}
+
+}

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/resources/application.yml

@@ -0,0 +1,28 @@
+#
+#  Copyright 2023-2024 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.
+#
+
+server:
+  port: 8081
+
+spring:
+  application:
+    name: sca-ai-rag-example
+
+  ai:
+    vectorstore:
+      redis:
+        index: peer
+        prefix: peer

spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-rag-example/src/main/resources/prompts/system-qa.st

@@ -0,0 +1,7 @@
+You're assisting with questions about products in a beer catalog.
+Use the information from the DOCUMENTS section to provide accurate answers.
+The answer involves referring to the ABV or IBU of the beer, include the beer name in the response.
+If unsure, simply state that you don't know.
+
+DOCUMENTS:
+{documents}

spring-cloud-alibaba-examples/pom.xml

@@ -52,7 +52,8 @@
         <module>integrated-example/integrated-praise-consumer</module>
         <module>integrated-example/integrated-common</module>
 		<module>integrated-example/integrated-frontend</module>
-		<module>spring-cloud-ai-example</module>
+		<module>ai-example/spring-cloud-ai-example</module>
+		<module>ai-example/spring-cloud-ai-rag-example</module>
 	</modules>
 
 

spring-cloud-alibaba-starters/spring-cloud-starter-alibaba-ai/src/main/java/com/alibaba/cloud/ai/tongyi/TongYiAutoConfiguration.java

@@ -64,7 +64,6 @@ import org.springframework.context.annotation.Bean;
 		TongYiImagesProperties.class,
 		TongYiAudioSpeechProperties.class,
 		TongYiConnectionProperties.class,
-		TongYiConnectionProperties.class,
 		TongYiTextEmbeddingProperties.class
 })
 public class TongYiAutoConfiguration {