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 ...

ScyllaDB Releases Integrated Vector Search: 1B Vectors with 2ms P99s and 250K QPS Throughput

ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...
Morningstar

Elastic Introduces New Vector Storage Format DiskBBQ for More Efficient Vector Search

Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch that delivers more efficient vector search at scale than traditional ...
InfoQ

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

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