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langchain4j-spring-boot-integration

Integrate LangChain4j into Spring Boot apps with auto-configuration and @AiService.

Updated Apr 5, 2026
Search Tags:#rag#spring-boot#langchain4j#ai-integration#auto-configuration#embedding-store#declarative-ai-service
One-click install
npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill langchain4j-spring-boot-integration-rizaldiem
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain4j-spring-boot-integration
Source: https://github.com/rizaldiem/digital-invitation-web_V2/tree/main/.windsurf/skills/langchain4j-spring-boot-integration
Command: npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill langchain4j-spring-boot-integration-rizaldiem

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Integrates LangChain4j into Spring Boot apps to streamline AI service wiring and configuration.

Core Features & Use Cases

  • Auto-configuration of LangChain4j components for Spring Boot projects.
  • Declarative AI services with @AiService and Spring annotations for rapid development.
  • RAG, embeddings, and memory integration patterns within the Spring ecosystem.

Quick Start

Install the LangChain4j Spring Boot integration in your project and define and wire an @AiService interface to bootstrap an AI-enabled Spring Boot application.

Frequently Asked Questions about langchain4j-spring-boot-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate LangChain4j into a Spring Boot application?▼

LangChain4j integrates into Spring Boot via auto-configuration that streamlines AI service wiring, allowing you to define and wire an @AiService interface to bootstrap AI-enabled applications.

Can I build a RAG-enabled assistant using LangChain4j and Spring Boot?▼

Yes, you can build RAG-enabled assistants by utilizing LangChain4j's embeddings, memory, and vector store integration patterns within the Spring ecosystem to provide context-aware responses.

What is a declarative AI service in Spring Boot?▼

A declarative AI service in Spring Boot uses the @AiService annotation with Spring configurations to define AI interfaces, enabling rapid development without explicit wiring logic.

Does LangChain4j Spring Boot integration support multiple AI providers?▼

LangChain4j supports multiple AI providers through property-based configuration, allowing you to switch between different models while maintaining consistent Spring Boot auto-configuration.

Do I need separate dependencies for embeddings and vector stores?▼

You need the LangChain4j core and Spring Boot dependencies, while components for embeddings, memory, and vector stores are optional integrations added based on your specific AI use case.

What's the best way to configure AI services for Spring Boot microservices?▼

The best way to configure AI services for Spring Boot microservices is using LangChain4j's property-based configuration and @AiService annotations to auto-wire declarative AI components across providers.

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