High-Performance Vector Search at Scale

The leading open-source vector database designed to handle high-dimensional vectors for performance and massive-scale AI applications. Qdrant is purpose-built in Rust for unmatched speed and reliability even when processing billions of vectors.

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DailyMotion-(Vivendi)
Deloitte
Bayer
Disney
Flipkart
GLG

Qdrant is designed to deliver the fastest and most accurate results at the lowest cost

Learn more about it in our performance benchmarks. >

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Highest RPS

Qdrant leads with top requests-per-seconds, outperforming alternative vector databases in various datasets by up to 4x.

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Minimal Latency

Qdrant consistently achieves low latency, ensuring quicker response times in data retrieval.

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Fast Indexing

Qdrant’s indexing time for large-scale, high-dimensional datasets is notably faster than alternative options.

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High Performance

Qdrant's custom filterable HNSW ensures high performance and connectivity in similarity searches with additional filtering.

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Easy-to-use

User-friendly SDKs in multiple programming languages, facilitating easy integration into existing systems.

Qdrant Cloud is the fastest way to get started with Qdrant.

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Qdrant is also available on leading marketplaces

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AWS Marketplace

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GCP Marketplace

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Microsoft Azure

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