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AI Engineering

RAG Chunk Calculator

Estimate fixed-size text chunks, overlap and repeated token processing.

Calculations run in your browser. The tool does not send your inputs to a server.

01Your inputs

Local workspace

Start with the sample below, or enter your own values.

Enter a numeric value using the unit shown in the label.
Enter a numeric value using the unit shown in the label.
Enter a numeric value using the unit shown in the label.

02Your result

Your result will appear here. Choose an action after checking your inputs.

A quick guide

How to use this tool

  1. Check the example and the unit beside each input.
  2. Enter your values and choose Calculate.
  3. Review the result and assumptions, then copy what you need.

Reset example restores the starting values. Clear removes text and number inputs, returns choices to their first valid option, and removes the result.

Reference guide

Explanation and worked examples

Stride is chunk size minus overlap. Overlap must be smaller than the chunk. More overlap increases repeated token processing.

Use in day-to-day IT work

Estimate the resources for an AI-assisted IT workflow or draft its review and fallback steps.

Checks before applying the result

  • Use current provider limits, prices and tokenizer measurements for the intended model.
  • Evaluate representative support tasks, access controls and failure handling before connecting operational systems.
New to the terminology?
LLM
Large language model: a model that generates or interprets language.
Token
A unit of text counted by a model tokenizer.
RAG
Retrieval-augmented generation: supplying retrieved evidence to a model.

Keep exploring

Token Estimate ToolContext Window PlannerLLM Cost CalculatorBatch LLM Cost CalculatorLearn RAG →

How calculations work and where the models stop →