Qdrant is a high-performance vector database and search engine designed for AI-powered applications that require fast, scalable retrieval of multi-modal embeddings. It supports advanced filtering, hybrid search (dense and sparse), multivector storage, real-time indexing, efficient storage, and built-in quantization for large-scale data. Qdrant is made for developers and companies building AI retrieval systems, recommendation engines, semantic search, AI agents, and anomaly detection solutions. It features a developer-friendly API, built-in web UI, native inference, and robust integration with RAG, GenAI, and leading frameworks, as well as enterprise features like SSO, RBAC, and zero-downtime upgrades.
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Comprehensive API reference and integration guides for Qdrant.
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Overview of pricing plans and features offered by Qdrant.