Definition

What is Structured Context?

Context delivered to AI models as organized, typed records with named fields rather than raw prose or unformatted text.

Structured context improves AI accuracy by reducing token waste, exploiting model attention patterns, and enabling precise retrieval. Research shows format choice alone can swing LLM accuracy by up to 40%. Wire automatically transforms uploaded files into structured, typed records that agents can query efficiently.

Related concepts

Context Engineering

The practice of deliberately designing, structuring, and managing the information provided to AI models to improve output quality and relevance.

RAG (Retrieval-Augmented Generation)

A technique that retrieves relevant documents or data at inference time and injects them into the model's context window before generating a response.

Context Rot

The gradual degradation of an AI system's usefulness as the context it relies on becomes stale, incomplete, or outdated.

Further reading

Structured Context vs Raw Text for AI 7 Context Engineering Techniques for Production

All terms

View full glossary
AI Agent Context as a Service Context Container Structured Context Context Engineering Context Portability Context Rot Context Window MCP (Model Context Protocol) MCP Server RAG (Retrieval-Augmented Generation) Semantic Search Wire

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