Exploring Spring AI — Ollama & Stability AI - https://vramakrishnaparjanya.medium.com/exploring-spring-ai-ollama-stability-ai-a91ab08eee6b
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.
- 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.
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
git clone https://github.com/vramakrishnaparjanya/Spring_AI.git
cd Spring_AI
Use Maven to clean and build the project:
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mvn clean install
Start the application using the Maven Spring Boot plugin:
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mvn spring-boot:run
Once the application is running, access the APIs or web interface at:
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http://localhost:8080
- 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.
- 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.