In this session, we will use the principles of vector search to find pieces of music that are (maybe) similar to others. To do this, we will review the principles of generating embeddings to represent any type of data, whether textual or binary.

This session explains vector search and embedding generation.
The demo covers how to generate embeddings from a music and then use the techniques we learned to propose the most probable version of it when we hum a song.
It needs to broadcast the sound of my laptop to the public.