While Vector Databases have been around for some time, the advent of the transformer architecture has led to the supercharging of semantic search with vectors. With MongoDB Atlas’s new Vector Search offering, customers can take advantage of this transformative technology on top of their application data.

In this talk, we will focus on core concepts around Vectors, embedding your data, and the range of use cases we see our customers exploring with Vector Search. We’ll then go through a demo where we show what the experience would be when embedding/vectorizing a document, inserting it into the cluster and finally querying that data to find semantically similar data to our questions. Lastly, we’ll talk about some of the new exciting things we’re exploring during our Public Preview. Don’t miss out on this opportunity to learn about the next revolution in building applications.


Learn more → https://trymongodb.com/44dMMnG
Blog post → https://trymongodb.com/46g7OUC


View All Sessions → https://trymongodb.com/mongodblocalnyc23
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