Embeddings are a semantic representation of content. You hear about them all the time in the context of vector databases for example.
In this session we will focus on embeddings, look deeper why they are important, and what you can do with them.

Through examples we will also explore challenges when working with embeddings and look at strategies to overcome those challenges.