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, ...
Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, ...
Open-source vector database startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to pave the way for smarter and more reactive artificial intelligence apps.
The US Open 2024 was a tournament for the ages. On the court, certainly, where Aryna Sabalenka and Jannik Sinner both lifted their second major trophies of the year. But especially in the stands at ...
Build intelligent applications that combine large language models with your enterprise data using battle-tested RAG patterns and native vector search capabilities.
Abstract: There is rare research on open-switch fault tolerance for standard five-phase permanent-magnet synchronous motor (PMSM). To enhance the reliability of the motor system, this article proposes ...
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Stephanie A. (Sam) Martin, Boise State University (THE CONVERSATION) The U.S.
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 ...
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