First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search BERLIN & ...

Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. Qdrant has released Qdrant 1.16, an update of the Qdrant ...

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

Qdrant, the leading provider of high-performance, open-source vector search, today announced the launch of Qdrant Cloud Inference, a fully managed service that enables developers to search both text ...

BERLIN & NEW YORK, July 29, 2025--(BUSINESS WIRE)--Qdrant, the leading provider of high-performance, open-source vector search, today announced the private beta of Qdrant Edge, a lightweight, embedded ...

First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search Qdrant, ...

First embeddable vector database optimized for on-device AI in robotics, mobile agents, and offline intelligent systems Qdrant, the leading provider of high-performance, open-source 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 ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.