Factual package intelligence from PyPI
Use an LLM to run inference, for NER (named entity recognition) and/or NEL (named entity linking). Build a knowledge graph. Evaluate results.
pip install llm-ner-nel
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
llm-ner-nel publishes 1 wheel and 1 source archive for version 0.6.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .