Qdrant is an open-source vector database and similarity search engine implemented in Rust that provides a production-ready service to store, search, and manage high-dimensional vectors (points) with associated payload. It exposes convenient REST and gRPC APIs and client SDKs to integrate embeddings or neural-network encoders into applications. Qdrant emphasizes extended filtering and faceted search on payloads, enabling semantic matching combined with structured filters, and is available as both self-hosted software (Apache-2.0) and a managed cloud offering. The project includes official SDKs and components (for example, an MCP server implementation) to help build retrieval-augmented workflows and scalable AI-driven search and recommendation systems.