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

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 ...

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, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

First solution to promote growing tenants into dedicated shards inside one vector search engine environment. Delivers predictable performance, lowers infrastructure costs, and simplifies scaling for ...

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

In the dynamic world of generative AI, efficient data management and processing is critical. Zilliz Cloud, a fully managed vector database platform, has introduced the Cardinal vector search engine, ...

Real-time database provider Aerospike has updated its Aerospike Vector Search database extension for powering generative AI applications. The update offers new indexing and storage capabilities for ...