AI glossary · Prompts and settings
Context engineering
Context engineering is choosing what an AI model sees for each request, such as instructions, documents, memory and tool results, so it can answer well.
In more detail
A model only knows what is in its context window. Context engineering means choosing, ordering and trimming that material: the right documents from RAG, relevant memory, clear instructions and the results of tool calls.
It grew out of prompt engineering as people started building AI agents that handle long, multi-step tasks.
Related terms
Prompt engineeringPrompt engineering is the skill of writing and refining prompts so an AI gives more accurate, useful and consistent results.Context windowThe context window is how much text an AI model can consider at once, including your messages, files and its own replies, measured in tokens.Retrieval-augmented generation (RAG)Retrieval-augmented generation (RAG) makes AI answers more accurate by first looking up relevant information, then having the model answer using it.AI agentAn AI agent is an AI system that works toward a goal on its own, planning steps, using tools like search or apps, and checking its progress along the way.
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