Business Central now exposes embedding-based semantic search as a first-class AL capability - no exact keyword matching needed. This session covers use cases, how to integrate semantic search into your own AL extensions, performance characteristics, and best practices for choosing between full-text and embedding-based search.
Speaker(s)
Manager of engineering teams at Microsoft. My main responsibility is the performance and stability of our Dynamics 365 Business Central service, making sure that we serve our users in the best possible way.
Focused on creating highly productive feature teams and ensuring quality and innovation in our software. Interested in developing people, running efficient services and solving technical challenges.
Specialties: Software design, C#, SQL optimization, data analysis, running a service and people management
A software engineer, who likes to solve problems, both big and small with code. I also have a master's in computer science from University of Copenhagen, where my courses focused primarily on Natural Language Processing, Machine Learning and Information Retrieval.
Since then, I have been working as a .NET Engineer at Microsoft Development Center, where I develop the core server architecture behind Dynamics 365 Business Central.