What you can do with Qdrant, fully managed by Elestio.
Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points, vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural network or semantic-based matching, faceted search, and other applications. Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
Scalar, Product, and unique Binary Quantization feature significantly reduce memory usage and improve search performance (40x) for high-dimensional vectors.
Offers OpenAPI v3 specification for generating client libraries in almost any programming language.
Qdrant supports a wide range of integrations for all leading embeddings and frameworks.
Vector payload supports a large variety of data types and query conditions, including string matching, numerical ranges, geo-locations, and more.
Explore Qdrant on Elestio
Qdrant runs on a dedicated instance, with backups, monitoring, SSL and updates handled by Elestio. Learn more about the software and everything included with the managed service.
Overview, screenshots and key benefits of Qdrant.
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