Qdrant
Open-source vector database and cloud service for high-performance similarity search in AI applications.
Features
- High-performance vector search with filtering and payloads
- Open-source core with managed cloud and hybrid deployment options
- Support for quantization, sharding, and multi-tenant setups
- REST and gRPC APIs with client libraries for major languages
- Integrations with popular embedding models and AI frameworks
Qdrant is a vector database designed for production-grade semantic search, recommendation, and retrieval-augmented generation workloads. Teams can self-host the open-source engine or use Qdrant Cloud to run managed clusters, then connect it to their LLM stack for fast similarity search over text, images, and other embedded data. Its APIs, filtering, and scaling features make it a strong choice for developers building AI products that rely on vector search.
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