Qdrant is a Berlin-based company that develops an open-source vector database optimized for similarity search and machine learning applications. The database is designed to handle high-dimensional vector data efficiently, making it particularly useful for AI applications like recommendation systems, image search, and natural language processing. Qdrant offers both self-hosted and cloud-managed solutions, providing developers with flexible deployment options. The platform supports advanced filtering, real-time updates, and horizontal scaling, making it suitable for production AI applications that require fast and accurate similarity search capabilities.
Qdrant has received investment from 1 venture capital firm.
Qdrant is an open-source vector database designed for similarity search and AI applications, offering high-performance vector storage and retrieval.
Qdrant has received investment from Air Street Capital. These venture capital firms and investors provide both capital and strategic support.
Qdrant has raised $7.5M in total funding, with their most recent round being a Seed. The company operates in the DevTools sector.
Qdrant was founded in 2021 and is headquartered in Berlin, Germany.
Qdrant operates in the DevTools sector. Qdrant is an open-source vector database designed for similarity search and AI applications, offering high-performance vector storage and retrieval.
