langchain4j-spring-boot-integration
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.
npx skills add majiayu000/claude-skill-registry --skill langchain4j-spring-boot-integration-giuseppe-trisciuogli-develop-giuseppe-trisciuogli-developer-kit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain4j Spring Boot 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. ## When to Use Use this skill when: - Integrating LangChain4j into existing Spring Boot applications - Building AI-powered microservices with Spring Boot - Configuring AI model beans with `@Bean` annotations - Setting up auto-configuration for AI models and services - Creating declarative AI Services with Spring dependency injection - Implementing RAG systems with Spring Data integrations - Setting up chat memory with Spring context management - Configuring multiple AI providers (OpenAI, Azure, Ollama, Anthropic) - Building production-ready AI applications with Spring Boot ## Overview 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. ## Instructions ### 1. Add De
- When to Use
- Overview
- Instructions
- 1. Add Dependencies
- 2. Configure Application Properties
- 3. Create Declarative AI Service
- 4. Enable Component Scanning
- 5. Inject and Use the AI Service
- 6. Verify the Integration
- Configuration
- Declarative AI Services
- RAG Implementation
- Tool Integration
- Examples
What does the langchain4j-spring-boot-integration skill do?
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain4j-spring-boot-integration-giuseppe-trisciuogli-develop-giuseppe-trisciuogli-developer-kit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.