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Spring AI — Ollama & Stability AI - This repository demonstrates how to build AI-powered backend systems seamlessly integrated with REST APIs, making it easy to develop, test, and deploy AI solutions in real-world scenarios.

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Spring_AI

Exploring Spring AI — Ollama & Stability AI - https://vramakrishnaparjanya.medium.com/exploring-spring-ai-ollama-stability-ai-a91ab08eee6b

Spring AI 🌱🤖

Spring AI is a cutting-edge project that integrates Spring Boot with Artificial Intelligence to create powerful, intelligent, and scalable applications. This repository showcases various use cases and implementations of AI within the Spring ecosystem, providing a starting point for developers to build innovative solutions.


Features 🚀

  • Spring Boot Integration: Leverages Spring Boot's simplicity and robustness for building backend systems.
  • React Frontend: A responsive and interactive user interface for end-users.
  • AI Models: Incorporates AI/ML models for predictive analytics, data processing, and decision-making.
  • REST APIs: Exposes endpoints for interacting with AI functionalities.
  • Modular Architecture: Designed to be extensible and easy to integrate with other systems.

Prerequisites ⚙️

Before running the application, ensure you have the following installed:

  • Backend: Java 17+, Maven 3.8+
  • Frontend: Node.js 18+, npm or yarn
  • An IDE like IntelliJ IDEA for backend or VS Code for frontend

Getting Started 📖

1. Clone the Repository

git clone https://github.com/vramakrishnaparjanya/Spring_AI.git
cd Spring_AI

2. Build the Project

Use Maven to clean and build the project:

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mvn clean install

3. Run the Application

Start the application using the Maven Spring Boot plugin:

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mvn spring-boot:run

4. Access the Application

Once the application is running, access the APIs or web interface at:

arduino
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http://localhost:8080

Folder Structure 🗂️

Backend (/backend)

  • src/main/java: Contains the source code for the application.
    • com.example.springai: Core application package.
    • controller: REST controllers for API endpoints.
    • service: Business logic for AI functionalities.
    • model: Data models and entities.
  • src/main/resources: Configuration files, templates, and static resources.
  • docs/: Documentation files for the project.

Frontend (/frontend)

  • src: Contains the React application code.
    • components/: Reusable UI components.
    • pages/: Main application pages.
    • services/: API service calls.
    • styles/: CSS and styling files.
  • public: Public assets like index.html.

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Spring AI — Ollama & Stability AI - This repository demonstrates how to build AI-powered backend systems seamlessly integrated with REST APIs, making it easy to develop, test, and deploy AI solutions in real-world scenarios.

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