vector16-encoding-policy.md

title	description	ms.topic	ms.reviewer	ms.date
include file	include file	include	adieldar	08/11/2024

Optimizing performance

For enhanced performance and reduced storage requirements when using this function, consider using the Vector16 encoding policy for storing floating-point vectors that don't require 64 bits precision, such as ML vector embeddings. The Vector16 profile, which utilizes the Bfloat16 floating-point representation, can significantly optimize the operation and reduce storage size by a factor of 4. For more details on the Vector16 encoding policy, refer to the Encoding Policy Types.