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Qdrant is a high-performance, open-source vector similarity search engine and database, purpose-built for AI applications requiring fast and accurate nearest-neighbor search across billions of vectors.
Pricing
Pricing unavailable
Founded
2021
Team size
51-200 employees
Headquarters
Berlin, Germany
Preview from qdrant.tech
At a glance
Pricing model
Try before you buy
Integrates with
Security
Qdrant is an open-source vector database and search engine written in Rust for maximum performance. The platform provides state-of-the-art vector similarity search with filtering, payload storage, and advanced indexing algorithms optimized for speed and accuracy.
Built for production AI workloads, Qdrant handles billions of vectors with sub-millisecond search latency. The platform supports hybrid search with filtering on structured metadata, enabling complex queries that combine semantic similarity with business logic constraints.
Available as a fully managed cloud service and self-hosted deployment, Qdrant provides a REST and gRPC API that integrates with popular AI frameworks. The platform's Rust foundation provides memory safety and performance advantages over alternatives built on higher-level languages.
Knowledge-grounded AI feature
Combine a capable model, grounded retrieval, production hosting, and evaluation into one release path.
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Trust
SLA uptime target: 99.9%
Security review turnaround: Not specified
DPA available: Not specified
Pricing
Pricing model: Usage-based
Free trial: Yes
Free plan: Yes
Contract minimum: Not specified
Procurement
The vendor hasn’t added purchasing & legal details yet.
Fit
Company-size fit has not been specified yet.