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High-performance open-source vector database
Qdrant is an open-source vector database and similarity search engine built for AI applications like semantic search, recommendations, and retrieval-augmented generation. Written in Rust for speed and reliability, it stores embeddings alongside rich payloads and supports fast filtered search, so queries can combine vector similarity with metadata conditions. Qdrant Cloud offers a fully managed, scalable version.
Qdrant is a popular choice for teams that want high performance with the flexibility of open source. It supports advanced features like scalar and binary quantization to cut memory costs, distributed deployments for scale, and hybrid search. Its straightforward API and client libraries make it easy to adopt for developers building LLM-powered products.
Pricing Model
FREEMIUM
Starting Price
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Free Options
Free version, Free trial
| Feature | Free | Cloud Popular |
|---|---|---|
| 1GB managed cluster | — | |
| Filtered vector search | — | |
| Quantization | — | |
| Client libraries | — | |
| Community support | — | |
| Autoscaling clusters | — | |
| High availability | — | |
| Backups and monitoring | — | |
| Hybrid cloud and BYOC | — | |
| Priority support | — |
Other
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API Types
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Open-source vector database built for scale
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