Qdrant (pronounced as ‘quadrant’) is a cutting-edge vector similarity search engine and vector database designed to handle complex data matching and retrieval. Built with performance in mind, Qdrant enables fast, scalable, and efficient search capabilities for high-dimensional vector data. Whether you’re working with neural network embeddings, semantic-based matching, faceted search, or recommendation systems, Qdrant offers a versatile solution. With extended support for filtering, it ensures precise and relevant results across a range of use cases.
Written in Rust, Qdrant is engineered for speed and reliability, making it a robust choice even under high loads. Its user-friendly API and extensive integration options streamline deployment, making it ideal for embedding neural networks and building sophisticated applications. With Qdrant, you can transform your machine learning models into full-fledged applications that deliver accurate and relevant results.
Qdrant utilizes advanced compression techniques, including Scalar, Product, and unique Binary Quantization, which significantly reduce memory usage and enhance search performance by up to 40x for high-dimensional vectors.
Qdrant offers a simple and robust API with OpenAPI v3 specification, making it easy to integrate into any application. It provides auto-generated client libraries in multiple programming languages, ensuring accessibility for developers.
Qdrant supports a broad range of integrations with leading embeddings and machine learning frameworks, ensuring compatibility with your existing tools and infrastructure.
Qdrant’s vector payload system supports a wide variety of data types, including strings, numbers, and geolocations. This enables advanced filtering with complex query conditions such as string matching, numerical ranges, and geographic searches.
Engineered for high performance, Qdrant scales effortlessly to meet the demands of large datasets, providing fast and reliable results even as data grows.
Written in Rust, Qdrant offers a robust, production-ready solution that ensures stability and reliability under high load, making it perfect for mission-critical applications.
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