Announcing ScaNN: Efficient Vector Similarity Search

1 · Google AI Research · July 28, 2020, 5:21 p.m.
Posted by Philip Sun, Software Engineer, Google Research Suppose one wants to search through a large dataset of literary works using queries that require an exact match of title, author, or other easily machine-indexable criteria. Such a task would be well suited for a relational database using a language such as SQL. However, if one wants to support more abstract queries, such as “Civil War poem,” it is no longer possible to rely on naive similarity metrics such as the number of words in common...