Qdrant, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

First solution to promote growing tenants into dedicated shards inside one vector search engine environment. Delivers predictable performance, lowers infrastructure costs, and simplifies scaling for ...

Qdrant, the open-source vector search engine used by enterprises and AI-native teams, announced Tiered Multitenancy—as part of the v1.16 release—a new capability that helps organizations isolate heavy ...

MongoDB Inc. today said its search and vector search features that had previously been confined to its Atlas cloud platform are now available for self-managed deployments, including MongoDB Community ...

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility and control, helping developers build more reliable, production‑grade RAG ...

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 ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...