A lightweight toolkit for extracting topics from PDFs and visualizing their connections using graphs.
What's Changed
* Basic code for tag prediction using ktrain or sklearn by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/1
* Add LLM strategy to parse and manage tagging by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/2
* Add test cases and documentation for graphrag-tagger by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/3
* Update documentation configs by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/4
* Create graph-tagger package configuration by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/5
* Package management tools by KameniAlexNea in https://github.com/KameniAlexNea/graphrag-tagger/pull/6
New Contributors
* KameniAlexNea made their first contribution in https://github.com/KameniAlexNea/graphrag-tagger/pull/1
**Full Changelog**: https://github.com/KameniAlexNea/graphrag-tagger/commits/graphrag-tagger-v0.1.1