Context window
How much text a model can consider at once. Bigger windows mean longer threads and more pasted docs — including your pricing PDF.
You still shouldn’t write 80-page homepages. Retrieval will chunk you anyway.
Long context helps users paste a Reddit thread plus your docs. Be the docs that survive that mashup.
Examples
- A user pastes three competitor pages. Yours is the only one with a limits table. You win the paste-off.
Related terms
Chunking is writing sections that still make sense if a retriever lifts 100–300 words and ignores the rest of the page.
RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
The chunks of text models bill and process. Context windows are in tokens. Your page might get truncated in RAG.
FAQ
Optimize for long context? +
Optimize for clarity. Window size is their hardware problem.
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