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About Qdrant MCP

Qdrant is an open-source vector search engine designed for building AI retrieval systems at scale. It enables developers to ship high-performance, full-feature vector search across various deployment models, from cloud to on-premise and edge. Built entirely in Rust, Qdrant prioritizes speed, accuracy, and scalability, offering features like expansive metadata filtering, native hybrid search (dense + sparse), built-in multivector support, and efficient one-stage filtering. The platform is engineered for real-time indexing and memory-efficient storage, capable of handling billions of vectors with advanced quantization techniques to reduce memory footprint while maintaining search quality. Qdrant provides developer-friendly APIs, a built-in Web UI for visualization, and native cloud inference capabilities for generating embeddings. It caters to enterprises with flexible deployment options including Qdrant Cloud (fully managed), Hybrid Cloud (BYOK), and Private Cloud (air-gapped), alongside enterprise-grade security features like SSO, RBAC, and comprehensive monitoring tools.