Products & ServicesEvent: September 1, 2026
Qdrant released PubMed-Multi-Vector, a dataset for hybrid retrieval with dense, sparse, and ColBERT-style multi-vector representations over the same corpus, 8.37 billion multi-vector tokens.
Published
Signal category
Products & Services
Quote
“PubMed-Multi-Vector, for hybrid retrieval: dense, sparse, and ColBERT-style multi-vector representations over the same corpus, 8.37 billion multi-vector tokens.”
— Andre Zayarni|Qdrant team
Company
Qdrant
Composable high-performance vector search
- Industry
- Software Development
- Location
- Berlin, DE
- Company size
- 153 employees
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Founded 2021