Qdrant released Qdrant-FineWeb-10B, a 10 billion document dataset with dense and sparse vectors, over 50 TB of vector and meta data, and exact top-1000 ground truth computed by brute force across the full 10-billion-vector space for 120,000 queries.
Published
Signal category
Products & Services
Quote
“Qdrant-FineWeb-10B: 10 billion documents, dense and sparse vectors, over 50 TB of vector and meta data, with exact top-1000 ground truth computed by brute force across the full 10-billion-vector space for 120,000 queries.”
— 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