Please RVSP through the SF Java User Group event page for the virtual link: https://www.meetup.com/sfjava/events/287788560/
Similarity between elements in a dataset has traditionally been measured based on appearance - simple measures such as word counts and other lexical similarities have been the state of the practice. Vector Search goes beyond appearances and lets you define similarity based on meanings and deeper representations of content. Image recognition and comparisons, audio comparisons and recommendations, and relevance ranking based on Natural Language Processing (NLP) are just a few of the applications that Vector Search enables. The Elastic Platform equips you with the tools you need to create novel applications based on this approach.
Agenda - Presenter: Robert Statsinger - Principal Solution Architect @ Elastic