Vector Field

Introduction

Vector fields and vector field definitions allow for storing vectors of floating point numbers. Such vectors are for example generated by an AI Connector and used for https://mediahaven.atlassian.net/wiki/spaces/CS/pages/4434231329. An example of a vector with 4 dimensions is [0.5, -0.5, -0.5, -0.5].

Floating point

The vector is stored in the metadata as a hexadecimal string using the following conversion:

• Each floating point number is more precisely a 32-bit precision IEEE 754 floating point.

• Each floating point is converted to an 8-character hexadecimal string, e.g. 0.5 → 3F000000

• All 8-character hexadecimal strings are concatenated into a single string

• A vector with dimensions N will be stored as a hexadecimal string of length 8 * N

Example

The vector [0.5, -0.5, -0.5, -0.5] in hexadecimal form is 3F000000BF000000BF0000003F000000