This talk explores how Milvus leverages vector embeddings to enable powerful semantic search and similarity matching capabilities in .NET environments to power use cases like product recommenders and retrieval augmented generation applications. The presentation will cover key features of Milvus, its performance advantages, and best practices and we'll demonstrate practical examples of using Milvus in .NET applications and showcase its scalability when utilized with Azure's cloud infrastructure. Attendees will gain insights into enhancing their search functionalities and building more intelligent data-driven applications using this cutting-edge vector database technology.

Resources:

Event Collection: https://aka.ms/dotnetFocusAI/Collection

AI Challenge: https://aka.ms/dotnetFocusAI/CredentialChallengeLive

Learning Path: https://aka.ms/dotnetFocusAI/Learn

Playlist: https://aka.ms/dotnetFocusAI/OnDemand

Repo: https://aka.ms/dotnetFocusAI/Repo

Survey: https://aka.ms/dotnetFocusAI/Evaluation

Featuring: Timothy Spann

#dotnet #ai