The KNN algorithm was first developed in 1951, and KNN has been routinely used in Web applications for several decades. However, until recently, database applications that want to use KNN have had to ...

In general, a K-nearest neighbor (KNN) algorithm is likely to give good answers to vector search problems. The major issue with KNN is that it’s computationally expensive, both in processor and ...

The FAISS algorithm used to speed up KNN queries uses specific indexing techniques so that thousands of vectors can be searched without accessing all the dataset, just a part of it. This is because ...