Qdrant Vector 검색

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Qdrant Vector Similarity Search Engine High performance vector database written in Rust for production RAG and semantic search. When to use Qdrant Use Qdrant when: Building production RAG systems requiring low latency Need hybrid search (vectors + metadata filtering) Require horizontal scaling with sharding/replication Want on premise deployment with full data control Need multi vector storage per record (dense + sparse) Building real time recommendation systems Key features: Rust powered : Memory safe, high performance Rich filtering : Filter by any payload field during search Multiple vectors : Dense, sparse, multi dense per point Quantization : Scalar, product, binary for memory efficienc…