A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

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 ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. Shares of major memory and storage ...

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 ...

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 ...