langchain4j-spring-boot-integration

What problem does it solve?

This Skill simplifies the integration of LangChain4j, a powerful Java library for building LLM applications, into Spring Boot applications, enabling developers to leverage AI capabilities within their existing Java ecosystem.

Core Features & Use Cases

• Declarative AI Services: Define AI interactions using simple Java interfaces annotated with @AiService.
• Auto-Configuration: Automatically configure AI models, embedding stores, and memory components based on application properties.
• RAG Implementation: Facilitates the creation of Retrieval-Augmented Generation systems by integrating with various embedding stores.
• Use Case: Build an AI-powered customer support chatbot within a Spring Boot microservice, leveraging LangChain4j for natural language understanding and response generation, with seamless integration into the Spring ecosystem.

Quick Start

Add the langchain4j-spring-boot-starter and langchain4j-open-ai-spring-boot-starter dependencies to your Spring Boot project and configure your OpenAI API key in application.properties.