✍️
Qdrant
About Qdrant
Qdrant는 고성능 벡터 검색 엔진 및 데이터베이스입니다. 고급 필터링, 페이로드 지원 및 분산 배포 옵션을 갖춘 프로덕션 준비 AI 애플리케이션을 위해 구축되었습니다.
Tags
#벡터 검색#데이터베이스#고성능#분산형
0 visits
0 bookmarks
가격
웹사이트 확인Visit Trend
Key Metrics
2026-09-01 - 2026-09-30- Monthly visits
- 0
- Avg. visit duration
- 00:00
- Pages per visit
- 0.00
- Bounce rate
- 0.00%
Source Share
Direct visits: 0%Email: 0%Organic search: 0%Paid ads: 0%Referrals: 0%
Traffic Sources
2026-09-01 - 2026-09-30- Direct visits0
- Email0
- Organic search0
- Paid ads0
- Referrals0
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
