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 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 ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

What if you could give your AI agent the ability to answer virtually any question, no matter how complex or nuanced? Imagine an AI assistant that not only understands your queries but pulls from a ...

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...