KIOXIA achieves 4.8 billion high-dimensional vector search database on a single server, with a significant reduction in index ...
Kioxia America, Inc. today announced the successful demonstration of high-dimensional vector search scaling to 4.8 billion vectors on a single server using its open-source KIOXIA AiSAQ(TM) approximate ...
Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...
In response to the societal challenge of growing electricity demand from AI data centers, Oak Ridge National Laboratory (ORNL) is launching the Next Generation Data Centers Institute (NGDCI). This ...
In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...
Abstract: Retrieval-augmented Large Models (RALMs) have emerged as a promising paradigm to enhance large language models (LLMs) by integrating external knowledge. However, the inherent complexity of ...
VittoriaDB is a high-performance, embedded vector database designed for local AI development and production deployments. Built with simplicity and performance in mind, it provides a zero-configuration ...
Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...