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, a leading provider of vector database solutions, has recently unveiled an innovative search technology called BM42. This new approach promises to revolutionize information retrieval, ...
Qdrant has launched Qdrant Cloud Inference, a managed service that allows developers to generate, store, and index text and image embeddings in the Qdrant Cloud. The service, which uses integrated ...
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 & ...
Vector database offers on-prem, cloud-native, or SaaS deployment, leading performance, a rich set of integrations and language drivers, and a dizzying array of optimization options. Efficient ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today’s complex, unstructured data — text, images, audio and video — are ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More More companies are looking to include retrieval augmented generation (RAG ...
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