About Qdrant
An open-source, cloud-native vector database and similarity search engine focused on high-performance ANN search, storage efficiency, and easy deployment (Docker/Kubernetes).
Key Features
- Rust-based engine optimized for performance and reliability at scale with HNSW-based ANN search.
- Storage efficiency features including quantization and disk offload to reduce memory usage.
- Simple API and integrations for embeddings, plus managed Qdrant Cloud offering.
Use Cases & Best For
Developers needing a performant, open-source vector store for semantic search, recommendations, and RAG.
Teams looking for adaptable storage options (memory + disk) and an easy-to-deploy vector search solution.
About Vector Databases
Storage and retrieval for embeddings