feat: update rag example and readme files (#3774)

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

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

@@ -40,22 +40,27 @@ You need to introduce the following dependencies in the POM. XML:
 
 <dependency>
     <groupId>org.springframework.ai</groupId>
-    <artifactId>spring-ai-redis-spring-boot-starter</artifactId>
+    <artifactId>spring-ai-redis-store-spring-boot-starter</artifactId>
     <version>${spring.ai.version}</version>
 </dependency>
 ```
 
 ## 3. Configuration
 
-Configure the following information in the application. Yml:
+Configure the following information in application.yml: > Note: It is recommended that you configure apiKey via an environment variable for apiKey security.
+
+> Note: It is recommended to configure the apiKey via environment variables for apiKey security.
+> Reference: https://github.com/alibaba/spring-cloud-alibaba/tree/2023.x/spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-example#% E6%8E%A5%E5%85%A5-spring-cloud-starter-alibaba-ai:
 
 ```yaml
 spring:
   ai:
     vectorstore:
       redis:
+        # Configure Redis connection URI, default value is redis://127.0.0.1:6379
+        # uri: redis://127.0.0.1:6379
         index: peer
-        prefix: peer
+        Prefix: peer
 ```
 
 ## 4. Write the code
@@ -120,7 +125,7 @@ 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
+http://localhost:8081/rag/chat
 ```
 
 To experience the RAG application.

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

@@ -40,7 +40,7 @@ services:
 
 <dependency>
     <groupId>org.springframework.ai</groupId>
-    <artifactId>spring-ai-redis-spring-boot-starter</artifactId>
+    <artifactId>spring-ai-redis-store-spring-boot-starter</artifactId>
     <version>${spring.ai.version}</version>
 </dependency>
 ```
@@ -49,11 +49,16 @@ services:
 
 在 application.yml 中配置如下信息：
 
+> 注意：为了保证 apiKey 安全，建议通过环境变量的方式配置 apiKey。
+> 参考：https://github.com/alibaba/spring-cloud-alibaba/tree/2023.x/spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-example#%E6%8E%A5%E5%85%A5-spring-cloud-starter-alibaba-ai:
+
 ```yaml
 spring:
   ai:
     vectorstore:
       redis:
+        # Configure the Redis connection URI, default value is redis://127.0.0.1:6379
+        # uri: redis://127.0.0.1:6379
         index: peer
         prefix: peer
 ```
@@ -120,7 +125,7 @@ private Message getSystemMessage(List<Document> similarDocuments) {
 
 ```shell
 # 参数为 prompt，默认值为：What ber pairs well with smoked meats?"
-http://localhost:8080/rag/chat
+http://localhost:8081/rag/chat
 ```
 
 来体验 RAG 应用。

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

@@ -21,12 +21,17 @@ spring:
   application:
     name: sca-ai-rag-example
   cloud:
-    ai:
+    # We recommend configuring the api-key via an environment variable.
-      tongyi:
+    # Please see https://github.com/alibaba/spring-cloud-alibaba/tree/2023.x/spring-cloud-alibaba-examples/ai-example/spring-cloud-ai-example#%E6%8E%A5%E5%85%A5-spring-cloud-starter-alibaba-ai:
-        api-key: sk-xxxxxx
+    # ai:
+    #  tongyi:
+    #    connection:
+    #      api-key: sk-xxxxxx
+
   ai:
     vectorstore:
       redis:
-        uri: your redis addr  # eg：redis://127.0.0.1:6379
+        # Configure the Redis connection URI, default value is redis://127.0.0.1:6379
+        # uri: redis://127.0.0.1:6379
         index: peer
         prefix: peer

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

@@ -32,9 +32,9 @@ import static com.alibaba.cloud.ai.tongyi.common.constants.TongYiConstants.SCA_A
 public class TongYiConnectionProperties {
 
 	/**
-	 * Spring Cloud Alibaba AI connection configuration Prefix.
+	 * Spring Cloud Alibaba AI connection configuration prefix.
 	 */
-	public static final String CONFIG_PREFIX = SCA_AI_CONFIGURATION + "tongyi";
+	public static final String CONFIG_PREFIX = SCA_AI_CONFIGURATION + "connection";
 
 	/**
 	 * TongYi LLM API key.