Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere
Andre Zayarni, CEO & Co-Founder
·April 15, 2024
Qdrant v0.10 introduced full-text filters and indexes to enable more search capabilities for those working with textual data.
Kacper Łukawski
·November 16, 2022
Discover the power of vector storage optimization and learn how to efficiently manage multiple vectors per object for enhanced semantic search capabilities.
Kacper Łukawski
·October 05, 2022
Discover how to optimize your vector search capabilities with efficient batch search. Learn optimization strategies for faster, more accurate results.
Kacper Łukawski
·September 26, 2022
Qdrant's support for ARM architecture marks a pivotal step in enhancing accessibility and performance. This development optimizes data indexing and retrieval.
Kacper Łukawski
·September 21, 2022
Along with the various opportunities it gives, we are the most excited about GPU support since it is an essential feature in Qdrant's roadmap. Stay tuned for our new updates.
Alyona Kavyerina
·April 04, 2022
We are happy to announce that Jina.AI integrates Qdrant engine as a storage backend to their DocArray solution.
Alyona Kavyerina
·March 15, 2022