Build Your Own Copilot with RAG using Semantic Kernel and Azure AI Search

This session is dedicated to guiding you through the process of creating a personalized AI copilot with RAG by utilizing Semantic Kernel and Azure AI Search. You will learn how to integrate these technologies to build a copilot that leverages your own data.

In this session, you will delve into the intricacies of building a personalized AI copilot by harnessing the capabilities of Semantic Kernel and Azure AI Search. You'll start by understanding the core functionalities and features of both technologies. Then, you'll apply this knowledge to integrate Semantic Kernel's advanced language processing with Azure AI Search's robust data retrieval and indexing capabilities.

Speaker Bio:
Akshay Rohilla (He/Him) - Software Engineer II at Microsoft - I work in the Azure Copilot Team, specializing in designing and developing resilient, scalable applications utilizing Large Language Models (LLMs). My focus spans across various Azure products, where I leverage my expertise to create innovative solutions tailored to diverse use cases. When I'm not at my workstation, you'll likely find me on the badminton court, refining my skills and enjoying some friendly competition. Alternatively, I find solace and excitement in gaming at the Xbox zone, immersing myself in virtual worlds and connecting with friends.

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Shagun(She/Her) – App Dev Consultant at Microsoft - I specialize in providing architecture guidance and best practices for utilizing Azure services. My consulting background equips me to assist Microsoft partners in optimizing their solutions for scalability, resilience, and cost-effectiveness on the cloud platform. Beyond my professional role, I'm passionate about foreign languages, constantly exploring new linguistic and cultural dimensions. Additionally, in my leisure time, I find joy in the rhythm of music, exploring captivating fictional worlds through reading, and engaging in friendly competitions of table tennis.

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[hikerdean]

Very clear and well presented. Thank you!