Context window
Kontextfenster
How many tokens a model can take into account at once: instructions, documents, conversation and its own answer.
01In short
How many tokens a model can take into account at once: instructions, documents, conversation and its own answer.
In productionA bigger window helps. It does not replace good retrieval — dumping everything in costs money and often lowers quality.
02Video
slot · videoContext window in 90 secondsadd: GUIDES['context-window'].video
03Guide
slot · guide
A step-by-step guide for “Context window” goes here. Suggested outline:
- What it is — in one paragraph
- Why it matters in production
- How to do it — 3 to 7 steps
- Pitfalls we see in the field
04Checklist
slot · checklist
Four to eight things a team can tick before go-live.
05FAQ
slot · FAQ
The three questions clients actually ask about “Context window”.
06Related terms
BasicsTokenThe unit a language model reads and writes — a word fragment; in English roughly three quarters of a word on average. Pricing, speed and context limits are all counted in tokens.Data & retrievalRAGBefore answering, the system searches your documents and hands the relevant passages to the model. Answers get grounded in your data without retraining.OperationsPrompt cachingReusing the processed part of a repeated prompt — long instructions, shared documents — to cut cost and latency.
Talk to us