What is a context window?
How much text a model can hold in mind at once, and why it shapes what you can build.
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What is a context window?
A context window is the maximum amount of text a language model can process in one request, measured in tokens. It covers everything — your instructions, any documents you supply, the conversation so far, and the response the model generates.
Why it constrains design
You cannot simply paste an entire document archive into a request. Even where the window is large, cost rises with the amount of text supplied and accuracy tends to degrade when relevant detail is buried in a very long context.
This is the practical reason retrieval exists — select the few passages that matter rather than supplying everything and hoping.
What a token is
Roughly a word fragment. In English, about 750 words works out near 1,000 tokens. Indian languages in native scripts typically consume more tokens per word, which affects both cost and how much material fits — worth modelling before committing to a multilingual design.
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