Welcome to the Tanzu GenAI Showcase! This repository contains multiple examples of applications that can be deployed on the Tanzu Platform for Cloud Foundry. These examples demonstrate the powerful capabilities of the GenAI tile's Large Language Model (LLM).

1. Introduction
2. Features
3. Technologies Used
4. Getting Started
5. Examples
6. Contributing
7. License
8. Releases
9. Contact

The Tanzu GenAI Showcase aims to provide developers with practical examples of how to utilize the GenAI tile within the Tanzu Platform. By showcasing various applications built in different programming languages, we hope to inspire and guide developers in leveraging AI capabilities for their projects.

• Diverse Language Support: Examples in .NET, Go, Java, JavaScript, PHP, Python, and Ruby.
• Real-World Applications: Applications that solve real problems using AI.
• Easy Deployment: Each example is designed for easy deployment on the Tanzu Platform.
• Comprehensive Documentation: Clear instructions and explanations for each example.

• Tanzu Platform for Cloud Foundry: A cloud-native application platform.
• GenAI Tile: Provides LLM capabilities to enhance application functionality.
• Programming Languages:
  • .NET
  • Go
  • Java
  • JavaScript
  • PHP
  • Python
  • Ruby

To get started with the Tanzu GenAI Showcase, follow these steps:

1. Clone the Repository:

   git clone https://github.com/DMaster76/tanzu-genai-showcase.git

2. Navigate to the Directory:

   cd tanzu-genai-showcase

3. Explore the Examples: Each example is located in its respective folder. Choose a language and follow the instructions in the README file within that folder.

Here are some of the examples included in this repository:

• Description: A simple web application that uses GenAI for customer support chat.
• Instructions: Follow the README in the .NET folder to deploy.

• Description: A REST API that generates content based on user input using LLM.
• Instructions: Check the README in the Go folder for deployment steps.

• Description: A Spring Boot application that integrates with GenAI for data analysis.
• Instructions: Refer to the README in the Java folder.

• Description: A frontend application that uses GenAI for generating personalized content.
• Instructions: See the README in the JavaScript folder.

• Description: A web application that provides recommendations using AI.
• Instructions: Follow the README in the PHP folder.

• Description: A script that analyzes text data using GenAI.
• Instructions: Check the README in the Python folder.

• Description: A Ruby on Rails application that uses GenAI for enhancing user experience.
• Instructions: Refer to the README in the Ruby folder.

We welcome contributions! If you have an idea or a feature to add, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature.
3. Make your changes and commit them.
4. Push your branch and create a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

For the latest updates and versions, please visit the Releases section. Here, you can download and execute the latest files to keep your applications up to date.

For questions or feedback, please reach out:

• Author: DMaster76
• Email: [email protected]
• GitHub: DMaster76

Thank you for checking out the Tanzu GenAI Showcase! We hope you find these examples useful and inspiring. Don't forget to visit the Releases section for the latest updates. Happy coding!