dbta

Qdrant Edge Offers a Vector Search Engine for Embedded AI in Robotics, Mobile Agents, and Offline Intelligent Systems

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 ...
Business Wire

Elastic Announces Faster Filtered Vector Search with ACORN-1 and Default Better Binary Quantization Compression

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. Users ...
Morningstar

Qdrant Introduces Tiered Multitenancy to Eliminate Noisy Neighbor Problems in Vector Search

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 ...
dbta

Qdrant Launches Tiered Multitenancy for Vector Search

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 ...
CRN

Dell, Nvidia, Elastic Partner For Unstructured Data Search, Retrieval

“With Elasticsearch vector database at the heart of the Dell AI Data Platform's unstructured data engine, Elastic will bring vector search and hybrid retrieval to a turnkey architecture, enabling ...
Diginomica

Wikidata adds AI vectors to graph and knowledge bases. Here's why

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 ...