Scalable Vector Search with Weaviate
Language
English
Level
Intermediate
Length
33 minutes
Type
online conference
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About
API • March 2021
Scalable Vector Search with Weaviate
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.
About speaker
Laura Ham
Community Solution EngineerSeMI Technologies
I am Laura Ham, community solution engineer at the startup SeMI Technologies. We are developing the open source vector search engine Weaviate, where I am responsible for the design of the technology for its users. Big part my work has been designing the GraphQL API and Machine Learning features of the search engine. Next to working at SeMI, I am active in organizing meetups in the data science and UX field, and I tech coding to kids. I just graduated from my Master's degree in Human Computer Interaction.
Details
Language
English
Level
Intermediate
Length
33 minutes
Type
online conference
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