Basic - 5 min
Context is all the extra information you give a model so it can better understand what you mean. Good context is often the difference between a generic answer and one that actually fits your task, organization or document.
Context can include the question itself, earlier messages, documents, instructions, examples, roles, company information or a desired output format. In practice, anything that helps the model answer more precisely belongs to context.
Without context, a model usually gives a general answer. Once you add purpose, source material and constraints, the same AI becomes much more specific. That is why the quality of an answer often depends less on the model alone and more on the context you provide.
You can think in layers: task context for what the user wants, document context for what the answer should be based on, and organizational context for tone, policy or process rules. The better those layers fit together, the more useful the result becomes.
Many applications send too little, too much or simply the wrong context. Too little leads to shallow answers. Too much makes responses slower or messy. Wrong context sends the model in the wrong direction, even if the question itself seems clear.
Only include what is necessary for the task. Think from the decision or answer you want, not from the urge to dump every piece of information into the prompt. Good context is focused, relevant and up to date.
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An LLM is a large language model that can understand, predict and generate text. It often feels smart, but the quality of the result still depends heavily on context, model choice and how you use it.
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Edge AI means AI runs close to the source of the data, for example on a device, server or local network. This can improve speed and often gives more control over privacy, continuity and cost.
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RAG is a way to let a language model retrieve relevant information from documents or a knowledge base before it answers. That usually leads to answers that are more specific, grounded and useful for your own organization.
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If you want to know whether AITJE Assistent, AITJE Custom or a future product direction fits your organization, we can go through that with you directly.