daviden1013/llm-ie
A comprehensive toolkit that provides building blocks for LLM-based named entity recognition, attribute extraction, and relation extraction pipelines.
This toolkit helps data scientists, researchers, and analysts automatically extract specific pieces of information from unstructured text, like medical notes, legal documents, or market research reports. You feed in raw text documents, and it outputs structured data, identifying key entities, their attributes, and relationships between them. This allows you to convert messy text into organized, queryable data without manual effort.
Use this if you need to systematically pull out specific facts, details, or connections from large volumes of text using advanced AI models.
Not ideal if you only need simple keyword searches or if your data extraction requirements are very basic and don't involve complex relationships or attributes.
Stars
53
Forks
4
Language
Python
License
—
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
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