Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Workplace safety teams generate incident data every year, but millions of workers are still injured annually, some fatally. Incident reports, near misses, hazard observations, and investigation ...

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 ...

FileFlex GuardianAI™ delivers zero-trust governance for AI agents with administrator-defined policies and continuous ...

🚀 Production-Ready Enhancement of the original mcp-server-qdrant with GPU acceleration, multi-vector support, and enterprise-grade deployment infrastructure. Enhanced Model Context Protocol server ...

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 ...

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, ...

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 ...

Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.