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Qdrant
About Qdrant
Qdrant es un motor de búsqueda vectorial y base de datos de alto rendimiento. Construido para aplicaciones de IA listas para producción con filtrado avanzado, soporte de carga útil y opciones de implementación distribuida.
Tags
#búsqueda vectorial#base de datos#alto rendimiento#distribuido
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Qdrant Core Features
High-Performance Vector Search — Qdrant is built for speed, delivering sub-millisecond query times even at scale, making it ideal for real-time AI applications.
Advanced Filtering — Combine vector similarity search with structured filtering (e.g., metadata, tags) to achieve precise and context-aware results.
Payload Support — Store and retrieve arbitrary JSON payloads alongside vectors, enabling rich data management without external databases.
Distributed Deployment — Scale horizontally with built-in sharding and replication, ensuring high availability and fault tolerance for production workloads.
Multiple APIs — Access via RESTful, gRPC, and Python/TypeScript client libraries, with support for popular frameworks like LangChain and LlamaIndex.
Hybrid Search — Combine dense and sparse vectors (e.g., BM25) for hybrid retrieval, improving relevance in RAG and semantic search systems.
Built-in Dashboard — Monitor cluster health, performance metrics, and collections through an intuitive web-based UI.
Qdrant Subscription Plan
Free
$0
- 1-node cluster
- 1 GB storage
- Community support
- Ideal for development and small projects
Cloud (Usage-Based)
Pay-as-you-go
- Managed service
- Scalable storage and compute
- High availability
- Support included
- Pricing based on usage; check official pricing
Enterprise
Custom
- Self-hosted or dedicated cloud
- Advanced security and compliance
- Priority support
- SLA guarantees
- Custom deployment options
