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You're viewing version 2.19 of the OpenSearch documentation. For the latest version, see the current documentation. For information about OpenSearch version maintenance, see Release Schedule and Maintenance Policy.

Optimizing vector storage

Vector search operations can be resource intensive, especially when dealing with large-scale vector datasets. OpenSearch provides several optimization techniques for reducing memory usage.

Vector quantization

Reduce vector storage space by quantizing vectors

Disk-based vector search

Uses binary quantization to reduce the operational costs of vector workloads

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