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spring-ai-integration

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Bridge Spring Boot with LLMs and AI services.

Software Engineering#embeddings#llm#rag#spring-boot#vector-store#chatclient
Authorrrezartprebreza
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Simplifies bringing AI capabilities to Spring Boot by providing a cohesive pattern for configuring LLMs, chat clients, embeddings, vector stores, and RAG workflows in a single, discoverable skill.

Core Features & Use Cases

  • Spring AI integration: configure and use ChatClient, prompt templates, and structured outputs in Spring Boot apps.
  • RAG and vector stores: guidance for embedding data and querying through vector stores with a Spring-friendly API.
  • End-to-end AI workflows: example usage across chat, retrieval, and response generation to accelerate AI-powered features.

Quick Start

Set up a minimal Spring Boot project with the Spring AI starter and verify a basic chat interaction.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: spring-ai-integration
Download link: https://github.com/rrezartprebreza/spring-boot-skills/archive/main.zip#spring-ai-integration

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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