Glossary
Retrieval-Augmented Generation
Retrieval-augmented generation, or RAG, combines search over relevant documents with model generation so responses can use fresher or domain-specific context.
Plain-English meaning
In this game, Retrieval-Augmented Generation is used as a vocabulary card for recognizing how market and technology concepts fit together. The short idea is: answer with fetched context.
The term is not shown as a recommendation. It is included so players can learn the language they may see in exchange interfaces, wallet prompts, research notes, AI product pages, or on-chain analytics dashboards.
Why it belongs with Agent Runtime Ops
These terms cover the runtime building blocks used to ground model outputs, choose tools, and measure agent quality.
When solving the puzzle, compare the job this term performs with nearby cards. A correct group usually shares a function, risk type, workflow, or market structure rather than simply sharing similar wording.
Where you might see it
You might encounter this term while reading educational explainers, product documentation, risk disclosures, market dashboards, or beginner guides. Always separate vocabulary learning from financial decision-making.