🚀 Spring-AI-Project

Enterprise-grade Spring Boot project integrated with Spring AI for building modern AI-powered applications.

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📌 Overview

Spring-AI-Project is a professional backend starter template built using:

• Spring Boot 3
• Spring AI
• REST APIs
• Maven
• Docker
• Java 21

This project is designed to help developers quickly start building AI-integrated enterprise applications using OpenAI, Ollama, Azure OpenAI, and other LLM providers.

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✨ Features

✅ Core Features

• Spring Boot 3.x Architecture
• Spring AI Integration
• RESTful APIs
• Environment-based Configuration
• Layered Clean Architecture
• Production-Ready Structure
• Docker Support
• Centralized Exception Handling
• Logging Support
• Validation Support
• Lombok Integration
• API Versioning Ready
• Scalable Design Pattern

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🛠️ Tech Stack

Technology	Version
Java	21
Spring Boot	3.x
Spring AI	Latest
Maven	Latest
Docker	Latest
Lombok	Latest

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📂 Complete Professional Project Structure

Spring-AI-Project/
│
├── .github/
│   └── workflows/
│       └── ci.yml
│
├── docker/
│   └── Dockerfile
│
├── logs/
│
├── src/
│   ├── main/
│   │
│   │   ├── java/
│   │   │   └── com/
│   │   │       └── springai/
│   │   │           └── project/
│   │   │
│   │   │               ├── SpringAiProjectApplication.java
│   │   │               │
│   │   │               ├── config/
│   │   │               │   ├── AiConfig.java
│   │   │               │   ├── SwaggerConfig.java
│   │   │               │   └── SecurityConfig.java
│   │   │               │
│   │   │               ├── controller/
│   │   │               │   └── ChatController.java
│   │   │               │
│   │   │               ├── service/
│   │   │               │   ├── ChatService.java
│   │   │               │   └── impl/
│   │   │               │       └── ChatServiceImpl.java
│   │   │               │
│   │   │               ├── repository/
│   │   │               │
│   │   │               ├── dto/
│   │   │               │   ├── ChatRequest.java
│   │   │               │   └── ChatResponse.java
│   │   │               │
│   │   │               ├── entity/
│   │   │               │
│   │   │               ├── exception/
│   │   │               │   ├── GlobalExceptionHandler.java
│   │   │               │   └── ResourceNotFoundException.java
│   │   │               │
│   │   │               ├── util/
│   │   │               │   └── AppConstants.java
│   │   │               │
│   │   │               └── security/
│   │   │
│   │   └── resources/
│   │       ├── application.properties
│   │       ├── application-dev.properties
│   │       ├── application-prod.properties
│   │       ├── banner.txt
│   │       └── static/
│   │
│   └── test/
│       └── java/
│           └── com/
│               └── springai/
│                   └── project/
│                       └── SpringAiProjectApplicationTests.java
│
├── target/
│
├── .gitignore
├── .gitattributes
├── pom.xml
├── README.md
├── mvnw
├── mvnw.cmd
└── LICENSE

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⚙️ Getting Started

1️⃣ Clone Repository

git clone https://github.com/dharmendra9847/Spring-AI-Project.git
cd Spring-AI-Project

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2️⃣ Configure API Key

Open:

src/main/resources/application.properties

Add:

spring.ai.openai.api-key=${OPENAI_API_KEY}

OR

spring.ai.openai.api-key=YOUR_API_KEY

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3️⃣ Install Dependencies

mvn clean install

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4️⃣ Run Application

mvn spring-boot:run

Application Starts On:

http://localhost:8080

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🤖 Sample API

Request

GET /api/v1/chat?prompt=Hello

Response

{
  "response": "Hello! How can I help you today?"
}

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🐳 Docker Support

Build Docker Image

docker build -t spring-ai-project .

Run Docker Container

docker run -p 8080:8080 spring-ai-project

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🔒 Security Best Practices

• Never commit secrets
• Use .env files
• Use Spring Profiles
• Configure environment variables
• Use HTTPS in production
• Enable centralized logging

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🧪 Testing

Run all tests:

mvn test

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📈 Future Improvements

• AI Streaming
• Vector Database Integration
• Retrieval-Augmented Generation (RAG)
• JWT Authentication
• Role-Based Access Control
• Chat History Persistence
• Kubernetes Deployment
• CI/CD Pipelines

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🚀 Deployment Options

• Docker
• AWS ECS
• Kubernetes
• Railway
• Render
• Azure App Service

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🤝 Contribution Workflow

# Fork repository
# Create branch
git checkout -b feature/new-feature

# Commit changes
git commit -m "feat: add new AI endpoint"

# Push changes
git push origin feature/new-feature

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📄 License

Licensed under the MIT License.

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👨‍💻 Author

Developed using ❤️ with Spring Boot & Spring AI.