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 sea…