Articles about "vector search"

A new guide details how to construct a vector search engine in Python, illustrating foundational steps of implementing semantic similarity-based retrieval. Vector search, which relies on representing data as high-dimensional vectors, underpins modern AI applications ranging from recommendation systems to document retrieval.

Actian has launched VectorAI DB, a new database platform designed to enable high-speed vector search in edge and disconnected environments. The company claims up to 22 times faster performance than traditional systems, aiming to address scale, compliance, and operational challenges in enterprise AI deployments. VectorAI DB targets sectors where local data governance and security are critical.

Qdrant has raised $50 million in a Series B round to develop its open-source vector search infrastructure. The funding, led by AVP and joined by several major investors, will support scaling of its modular retrieval platform for AI systems operating at production scale.