We perform a similarity search on this vector using a SQL query. Similarity, or specifically cosine similarity, is a way to find the vectors in our database that are nearest to the vector query.

There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.