Overview
Explore the transformative power of Vector Search in this 38-minute talk from MongoDB. Delve into core concepts of vectors, data embedding, and diverse use cases for Vector Search. Watch a demonstration of embedding and vectorizing documents, inserting them into clusters, and querying for semantically similar data. Gain insights into MongoDB Atlas's new Vector Search offering and its potential to revolutionize application development. Learn about exciting developments during the Public Preview phase and understand how semantic search with vectors is reshaping the landscape of data retrieval and analysis.
Syllabus
Intro
Title
Questions
Agenda
What is a Vector
KNearest Neighbors
Vector Search
Use Cases
Demo
QA
mongodb
Taught by
MongoDb