The context window is how much information a model can take into account at once while it generates an answer.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
The basics you need to discuss an LLM product seriously: how a model reads a request, why context matters and where controllable answers come from.
What it is
The context window is how much information a model can take into account at once while it generates an answer.
Example in ecommerce
In a TV consultation the context holds the shopper's request, the clarifying answers so far, a handful of relevant SKUs and the merchandising rules.
Business impact
Managing context well raises answer accuracy without extra spend and keeps important details from getting lost in long conversations.
A fit for terms about search by meaning, the architecture behind the results and product discovery.
Shows how AI terms turn into a real decision flow inside the product page.
Collects the product scenarios in one place and is the starting point for a demo.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.