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…

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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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