Read Martin Heller explain how Vector similarity search uses Machine Learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable on Info World :
Suppose you wanted to implement a music service that would behave like Spotify, finding you songs that were similar to ones you like. How would you go about it? One way would be to classify each song by a number of characteristics, save those “vectors” in an indexed database, and search the database to find the song-description vectors “near” your favorites. In other words, you could perform a vector similarity search.
Read his full article here.
