Aerospike Vector delivers scale, cost-efficiency, and real-time precision.Try Aerospike Vector
Vector search

Build more accurate and affordable AI

Power GenAI apps with the only enterprise-grade vector solution that delivers consistent accuracy at scale.

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Performance at scale

Engineered for high throughput and low latency to power large-scale AI applications

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Accuracy

Incorporating real-time data and higher vector dimensionality generates better results

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Smallest footprint

Architected to run on significantly less infrastructure, delivering the lowest costs and carbon emissions

Developers

Build GenAI apps for the enterprise

With Aerospike Vector Search, develop applications that draw similarity-based insights against very large data sets to make complex decisions in real-time.

Built on top of the Aerospike database, Aerospike Vector Search lets you build in your language of choice, integrate with popular data pipeline connectors, and feel confident that even with millions of queries per second, you will still achieve sub-20ms latencies.

Scale, multi-model, efficient, and production-proven, Aerospike Vector Search built on the Aerospike database gives enterprises more when it comes to building and running GenAI apps.

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Multi-model

Flexibility well beyond NoSQL, including key-value, document, graph, and vector. All powered by a single integrated database engine at its core.

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Real-time updates

Ingestion at scale prevents hierarchical navigable small world (HNSW) index from getting stale, ensuring search results with fresh context.

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Hybrid search

Combine your vector search with additional criteria – filtering, relationship examination, and more – powered by Aerospike’s multi-model architecture.

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Millisecond latency

Manage very large data sets with the ability to store and retrieve billions of records within milliseconds.

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Parallel vector ingestion

Fast, innovative approach to ingesting and updating complex HNSW index structures from tens of thousands of sources.

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Flexible configuration

Flexibility to control your costs, including through separation of compute and storage and working with large or small models.