Integrating Web Applications with Azure OpenAI Services: A Focus on Semantic Kernel

Mounika Kothapalli

Abstract: This paper is focused on the seamless integration of Azure OpenAI services into any Web application using the new open-source orchestration framework?Semantic Kernel. I will show the overall architecture of Semantic Kernel and give an overview of its major components. Then, I will delve deeper into the specifics of how to integrate it. A case study on an AI-enhanced Content Management System results from this approach. I present the performance, scalability, and security considerations for the integrated system, along with the benefits and problems met in this work. Additionally, draw some conclusions on the best practices for AI integration and further recommendations for future research and development. The results suggest that Semantic Kernel makes the integration of the current cutting-edge AI enablers within web applications much easier. Therefore, it could act as a catalyst in adopting AI technologies within multiple industries. I also identify areas for improvement, especially with respect to scalability, security, and ethical considerations. This study deepens understanding on AI integration into web development and gives valuable insights to the developer and researcher communities amidst this fast-changing field.

Keywords: Artificial Intelligence, Azure OpenAI, Semantic Kernel, Web Application Integration, AI Orchestration, Natural Language Processing, Cloud Computing, Software Development