New Google TurboQuant algorithm improves vector search speed

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
InfoQ

Redis Improves Performance of Vector Semantic Search with Multi-Threaded Query Engine

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.
Nasdaq

NEC to Launch PCIe-based Vector Engine Card to Explore New Opportunities in the SME Market

TOKYO, Nov 20, 2020 - (JCN Newswire) - - NEC Corporation (TSE: 6701) today announced the global launch of a PCIe-based Vector Engine card (Vector Engine) to tap into the growing demand for High ...
dbta

Qdrant Receives $50M to Build Out a Vector Search Engine that AI Demands

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 ...
Finextra

Scalable Vector Database: The power behind recommendation engines

A Scalable Vector Database, a cutting-edge solution, is meticulously designed to efficiently manage high-dimensional vector data. Unlike traditional databases that handle data types such as strings ...