Structured extraction
Structured extraction is the process of identifying specified information in source content and representing it as organized data in a defined structure.
Essential GraphRAG
Structured data extraction is the process of converting information from unstructured sources into machine-readable data organized by explicit fields and relationships.
- How it is used
- Uses LLMs to convert documents into structured records for filtering, aggregation, retrieval, and knowledge graph construction.
- How deep it goes
- Explains schema design, prompting guidance, nested objects, enums, graph import, and clause-based chunking without detailing extraction evaluation.
- Examples
- Demonstrates calendar events, legal contracts, organizations, locations, JSON records, enums, and clause-based document chunks.
- What you can do after
- Build it from scratch by defining schemas, prompting LLMs, extracting records, and importing results into a graph database.
Read how Essential GraphRAG explains structured extraction →
Natural Language Processing in Action, Second Edition
Information extraction is the automatic identification and structuring of facts, entities, and relations from unstructured text.
- How it is used
- Supports factual question answering, knowledge-graph construction, chatbot actions, and grounding for generated language.
- How deep it goes
- Combines patterns, named-entity recognition, coreference resolution, relation extraction, tagging, and parsing, without detailing model internals.
- Examples
- Demonstrates reminder interpretation and extraction experiments on a Wikipedia article about Timnit Gebru.
- What you can do after
- Build it with spaCy components, combine extracted results, and populate or query a knowledge graph.
Read how Natural Language Processing in Action, Second Edition explains structured extraction →
Data Analysis with LLMs
Information extraction is the task of identifying and structuring specified facts or entities from text.
- How it is used
- Turns specified facts in text into structured attributes for tasks such as comparing applicants or compiling biographical data.
- How deep it goes
- Details prompt components and parsing rows and fields, but does not describe model internals.
- Examples
- Uses applicant emails to extract names, GPAs, and degrees, and biographies to extract birthplaces and dates.
- What you can do after
- Build it from scratch by prompting a language model and parsing its response into rows of structured data.
Read how Data Analysis with LLMs explains structured extraction →
D3.js in Action, Third Edition
Data extraction is the process of obtaining selected information from a source such as a web page or document.
- How it is used
- Supports custom visualizations by converting selected web-page content into structured fields.
- How deep it goes
- Demonstrates table classification, DOM selection, row iteration, and field collection through a browser-console script.
- Examples
- Uses Van Gogh painting tables from Wikipedia and extracts titles, image URLs, and mediums for a timeline.
- What you can do after
- Build it from scratch by extracting selected records from HTML tables in a browser console.
Read how D3.js in Action, Third Edition explains structured extraction →
Related concepts
- language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
- structured dataproduces · Structured data is information organized according to an explicit schema or predictable fields, types, records, or relationships for consistent machine processing.
- dependency graphuses · A dependency graph is a graph whose nodes represent entities and whose edges represent dependency relationships among them.
- regular expressionused by · A formal pattern notation that describes sets of strings and enables text to be matched, searched, extracted, or transformed.
- coreference resolutionhas part · Coreference resolution is the task of identifying expressions in text that refer to the same entity and linking those expressions to it.
- database tableproduces · A database table is a relational database structure that organizes records into rows and defined columns.
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