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Qdrant
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Qdrant Company Information
Qdrant offers a vector database and vector similarity search engine designed to enhance AI applications through advanced and high-performance vector similarity search technology. The company caters to various use cases such as matching, searching, and recommending by transforming embeddings or neural network encoders into comprehensive applications. Qdrant implements a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search, and supports additional payload associated with vectors, enabling filtering of results based on payload values. This payload can handle a wide range of data types and query conditions, including string matching, numerical ranges, and geo-locations. Developed entirely in the Rust programming language, Qdrant features dynamic query planning and payload data indexing, ensuring efficient performance. The platform is cloud-native and designed to scale horizontally, optimizing the use of computational resources. Qdrant offers a free 1GB cluster for trial through its Managed Cloud service, which subsequently starts at $25 per node per month, billed hourly. For larger enterprises, Qdrant provides solutions that include on-demand horizontal scaling, neural network fine-tuning, migration, monitoring, and dedicated technical support. Additionally, Qdrant’s community version is open-source under the Apache-2.0 license and provides organized community support along with comprehensive learning resources and documentation.
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