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AI powered expert system demo

This app shows how you can use Spring AI Alibaba to build an AI-powered system that:

  • Has access to terms and conditions (retrieval augmented generation, RAG)
  • Can access tools (Java methods) to perform actions (Function Calling)
  • Uses an LLM to interact with the user

spring-ai-alibaba-flight-booking

Requirements

  • Java 17+
  • Dashscope API key in AI_DASHSCOPE_API_KEY environment variable

Running

Run the app by running Application.java in your IDE or mvn spring-boot:run in the command line.

Add to the POM the Spring AI Alibaba boot starter:

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-alibaba-starter</artifactId>
    <version>1.0.0-M3.1</version>
</dependency>

Add the DashScope configuration to the application.properties:

spring.ai.dashscope.api-key=${AI_DASHSCOPE_API_KEY}
spring.ai.dashscope.chat.options.model=qwen-max

Build Jar

./mvnw clean package
java -jar ./target/playground-flight-booking-example-0.0.1-SNAPSHOT.jar

Build Frontend (as needed)

Run the following command to build frontend, this is only necessary when you made changes to frontend.

mvn clean compile -Pbuild-frontend