This chapter explores the concept of vector search, focusing on how vectors are compared using distance metrics for efficient data retrieval. It highlights the challenges involved in handling large datasets and the importance of specialized methods for quick and effective querying.
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.
The post MongoDB Vector Search with Ben Flast appeared first on Software Engineering Daily.