Qdrant 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 – vector Qdrants with additional payloads are customized for extended filtering support. It makes it useful for various neural network or semantic-based matching, faceted search and other applications. Qdrant is written in Rust and is 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, search, recommendation, and more. Also available in the cloud…

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