langchain4j-spring-boot-integration

Spring Boot auto-configuration and declarative AI services for LangChain4j integration. Integrate LangChain4j with Spring Boot using declarative AI Services, auto-configuration, and Spring Boot starters. Configure AI model beans, set up chat memory, implement RAG pipelines with Spring Data, and build production-ready AI applications. Use this skill when: LangChain4j Spring Boot integration provides declarative AI Services through Spring Boot starters, enabling automatic configuration of AI components based on properties. Combine Spring dependency injection with LangChain4j's AI capabilities using interface-based definitions with annotations. Or using YAML: After setup, verify the configuration: Property-Based Configuration: Configure AI models through application.properties for different providers. Manual Bean Configuration: For advanced configurations, define beans manually: Multiple Providers: Use explicit wiring when configuring multiple AI providers: Basic AI Service: Create interfaces with @AiService annotation and define methods with message templates. Streaming AI Service: Implement streaming responses using Project Reactor: Chat Memory: Set up conversation memory with Spring context: Embedding Stores: Configure embedding stores for RAG pipelines with Spring Data: Document Ingestion: Use ContentInjector and DocumentSplitter for processing documents.