Laura Ham
SeMI Technologies
Laura is SeMI's Community Solution Engineer. She works on everything UX & DX related to Weaviate. For example, she is responsible for the GraphQL API design, and researches new machine learning features for Weaviate. She is in close contact with Weaviate's open source community. Additionally, she likes to solve custom use cases with Weaviate, and introduces Weaviate to other people by means of Meetups, talks and presentations. In her free time she's active in sports, traveling, photography and likes to teach programming to kids.

2021 Talk: Introduction to Weaviate Vector Search Engine

This talk is an introduction to the vector search engine Weaviate. You will learn how storing data using vectors enables semantic search and automatic data classification. Topics like the underlying vector storage mechanism and how the pre-trained language vectorization model enables this are touched. In addition, this presentation consists of live demos to show the power of Weaviate and how you can get started with your own datasets. No prior technical knowledge is required; all concepts are illustrated with real use case examples and live demos.