Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

Leveraging the NVIDIA cuVS Library with KIOXIA AiSAQ Technology to Index Vectors of 1024 Dimensions with Minimal DRAM Use.

KIOXIA achieves 4.8 billion high-dimensional vector search database on a single server, with a significant reduction in index build time.

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.

Qdrant, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core ...

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

Kioxia Corporation, a leader in memory solutions, has demonstrated high-dimensional vector search scaling to 4.8 billion vectors on a single server using its open-source KIOXIA AiSAQ approximate ...

Qdrant, the open-source vector search engine built in Rust for production workloads, today announced $50 million in Series B funding led by AVP, with participation from Bosch Ventures, Unusual ...

Qdrant develops a vector search engine designed for production AI systems, enabling teams to configure retrieval, ranking, ...

Qdrant Raises $50M to expand composable vector search for AI, accelerate adoption, and support production-grade enterprise ...