What algorithms can perform vector similarity search? In general, a K-nearest neighbor (KNN) algorithm is likely to give good answers to vector search problems.

Data stream clustering algorithms play a pivotal role in the analysis of rapidly accumulating and evolving data sets, particularly as technologies such as the Internet of Things expand and ...

Qdrant introduces BM42, a new search algorithm tailored to Retrieval Augmented Generation that takes advantage of Transformers.

We study parallelization of categorical data clustering algorithms in an MPI platform. Clustering such data has been a daunting task even for sequential algorithms, mainly due to the challenges in ...

Vector database company Qdrant believes its new search algorithm, BM42, will make RAG more efficient and cost-effective.

VectorTree is creating an Advanced Vector Database (AVD) as a cloud-based service to support artificial intelligence systems.