First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search BERLIN & ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More More companies are looking to include retrieval augmented generation (RAG ...
Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...
Qdrant, the developer of a high-performance, open-source vector database, today announced it has raised $28 million in early-stage funding led by Spark Capital enhance its offering for generative ...
Qdrant, the high-performance, open-source vector database provider, is debuting the industry’s first native vector database offered as a managed hybrid cloud model. The new Qdrant Hybrid Cloud ...
Qdrant, the company behind the eponymous open source vector database, has raised $28 million in a Series A round of funding led by Spark Capital. Founded in 2021, Berlin-based Qdrant is seeking to ...
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