Unlock the potential of Retrieval Augmented Generation (RAG) in this hands-on masterclass designed for developers, data scientists, and IT decision-makers. Dive deep into the integration of Kernel Memories and Semantic Kernel using C#, and transform your understanding of modern search technologies.

Begin with a foundational overview of Large Language Models (LLMs) and embedding models, exploring key concepts such as vectorization and vector databases. Gain insights into effective search strategies and the technical underpinnings of RAG, which combines retrieval and generation models for precise, context-aware search results.

Participants will engage in setting up a complete RAG architecture, learning through practical exercises and real-world examples. Discover how to enhance out-of-the-box solutions like Azure AI Search with Azure OpenAI Service to achieve more reliable search results. Learn to structure documents and data effectively, and understand why successful search involves more than just typing a query. Explore additional search strategies to maximize the capabilities of your search engines.

With experience spanning projects in legal, contracting, and first-level support search, I bring a wealth of practical knowledge to the table. Equip yourself with actionable strategies and practical insights to integrate RAG into your projects, enhancing search processes and user experiences. Join us for a transformative day of learning and innovation.