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When Should You Choose a Dedicated Vector Database?
If you’re using a large language model (LLM) to develop a generative AI application, chances are pretty good that a vector database is somewhere in the mix. When it comes time to choose a vector database, there are ple Read more…
This Just In
Jul 15, 2025 |
BERLIN and NEW YORK, July 15, 2025 — Qdrant, a leading provider of high-performance, open-source vector search, today announced the launch of Qdrant Cloud Inference. This fully managed service allows developers to generate text and image embeddings using integrated models directly within its managed vector search engine offering Qdrant Cloud. Read more…
Mar 4, 2025 |
BERLIN and NEW YORK, March 4, 2025 — As AI adoption accelerates, enterprises are facing new challenges in scaling, securing, and managing high-performance AI applications. Today, Qdrant, the high-performance, open-source vector database, is introducing new enterprise capabilities in Qdrant Cloud that are designed to remove operational bottlenecks and empower large-scale AI deployments. Read more…
Jan 23, 2025 |
BERLIN and NEW YORK, Jan. 23, 2025 — Qdrant, a leading high-performance open-source vector database, today introduced its platform-independent GPU-accelerated vector indexing. This new feature delivers up to 10x faster index-building times while leveraging cost-effective GPUs that rival or surpass CPUs in both cost and efficiency. Read more…
Apr 16, 2024 |
BERLIN and NEW YORK, April 16, 2024 — Qdrant, a leading high-performance, open-source vector database, today announced the availability of its new Qdrant Hybrid Cloud, the industry’s first dedicated vector database to be offered in a managed hybrid cloud model. Read more…
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