AI planning / CLEARBYTE

Embedding Vector Storage Calculator

Raw embedding storage equals vector count multiplied by dimensions and bytes per component. One thousand 1,536-dimensional vectors at four bytes per component require 6,144,000 bytes before indexing overhead.

Isolated tool · network access blocked

Formula & method

Raw bytes = vectors × dimensions × bytes per component; MiB = bytes ÷ 1,048,576.

Worked example

InputValue
Number of vectors1,000
Dimensions per vector1,536
Bytes per component4 B
Result
ResultValue
Raw vector payload6,144,000 B
Raw vector payload5.859375 MiB

Compare scenarios

The first input changes while the other example inputs stay fixed. These are arithmetic scenarios, not forecasts.

Compare scenariosNumber of vectors Raw vector payloadRaw vector payload
−20%8004,915,200 B4.6875 MiB
Example1,0006,144,000 B5.859375 MiB
+20%1,2007,372,800 B7.03125 MiB

Assumptions & limits

This is a payload estimate, not a vector-database capacity quote. Index structures, metadata, IDs, alignment, replicas, backups and serialization can add substantial space. Four bytes is an illustrative representation size, not a requirement for every embedding format.

Displayed results are rounded. Calculations use unrounded JavaScript numbers; small floating-point differences are possible.

Works in your browser

The interactive tool runs in a sandbox with network access blocked. ClearByte and the advertising scripts cannot read values inside it. Browser extensions and a compromised device remain outside this protection.

Sources & definitions

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