Qdrant - Vector Search Engine for the next generation of AI applications

Qdrant is a vector similarity search engine and vector database written in Rust, designed for extended filtering support, making it useful for various neural-network or semantic-based matching, faceted search, and other applications. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant offers rich data types, query planning, and payload indexes, SIMD hardware acceleration, write-ahead logging, and distributed deployment. Qdrant can be integrated with various frameworks, libraries and platforms. It is licensed under the Apache License, Version 2.0.