Qdrant released Coyo-Vector-Embeddings, a dataset for multimodal search with image-caption pairs projected through a 2048-dimensional vision-language encoder.
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Most search benchmarks lie to you. Not maliciously. But when the ground truth is synthetic, the queries are hidden, and the whole thing runs on a paywalled service you c…
Company
Qdrant
Composable high-performance vector search
- Industry
- Software Development
- Location
- Berlin, DE
- Company size
- 51–200 employees
About Qdrant
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!
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Research & Knowledge
Qdrant published an article exploring how to systematically tune retrieval without guessing.
Products & Services
Qdrant is compatible with VectorAI DB and allows users to move to Qdrant with near-zero code changes.
Presence & Recognition
Qdrant is hosting Vector Space Stream on September 17, a 4+ hour virtual stream focused on technical research in vector search.
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