Qdrant, the company behind the eponymous open source vector database, has raised $28 million in a Series A round of funding led by Spark Capital. Founded in 2021, Berlin-based Qdrant is seeking to ...

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 ...

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 ...

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 ...

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, ...

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.