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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. Topics Spotlight ...
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 ...
Vector database provider Qdrant presents new algorithm for hybrid searches Qdrant introduces BM42, a new search algorithm tailored to Retrieval Augmented Generation that takes advantage of ...
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 ...
VectorTree is creating an Advanced Vector Database (AVD) as a cloud-based service to support artificial intelligence systems.
In 2024, vector database technology has become table stakes for enterprise AI deployment. Nearly every database vendor has some form of vector implementation, including Oracle , Microsoft, Google ...
Vector database company Qdrant believes its new search algorithm, BM42, will make RAG more efficient and cost-effective. Qdrant, founded in 2021, developed BM42 to provide vectors to companies ...
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