ScyllaDB Brings Massive-Scale Vector Search to Real-Time AI

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
AFP

KIOXIA AiSAQ™ Technology Integrated into Milvus Vector Database

Kioxia Corporation today announced that its KIOXIA AiSAQ™, which is Approximate Nearest Neighbor Search (ANNS) software technology has been integrated into the open-source vector database Milvus ...

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI - SiliconANGLE ...

MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.
Tech Xplore on MSN

'Rosetta stone' for database inputs reveals serious security issue

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...