Qdrant, the developer of a high-performance open-source vector database, today introduced its graphics processing unit accelerated vector indexing capability that will make scaling up artificial ...

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 ...

Zilliz Cloud introduces a cloud-native multi-layer storage architecture that automatically places data across memory, loal SSD, and object storage based on access patterns. Hot data stays fast, cold ...

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 ...

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The latest trends and issues around the use of open source software in the enterprise. The firm this month introduced its platform-independent GPU-accelerated vector indexing feature. This service is ...

Harper, bringing “next-level web performance to a digital-first world,” is releasing version 4.6 of its composable application platform, featuring several enterprise-grade components, chief among them ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model ...

When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each method ...