This chapter explores the latest improvements in MongoDB's Vector Search, highlighting its impact on enhancing AI capabilities. It explains how vectors serve as high-dimensional data representations and discusses the process of generating these vectors from diverse data types.
MongoDB Atlas is a managed NoSQL database that uses JSON-like documents with optional schemas. The platform recently released new vector search capabilities to facilitate building AI capabilities.
Ben Flast is the Director of Product Management at MongoDB. He joins the show to talk about the company’s developments with vector search.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
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