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Term

Structured extraction

Using an LLM to pull structured data — JSON fields, table rows, knowledge-graph triples — from unstructured input. Powered by structured output / function calling. The most common production AI pattern after RAG.

Background

Structured extraction handles invoice parsing, resume normalisation, email-to-CRM, contract review, and dozens of other workflows. Quality hinges on schema design (clear field semantics, allowed enums) and few-shot examples. Frontier models in 2026 reliably hit >95 % field-level accuracy on well-defined schemas; performance drops on novel domains.