BaranziniLab / KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Date Created 2023-11-11 (about a year ago)

Commits 582 (last one 12 days ago)

Stargazers 692 (10 this week)

Watchers 17 (0 this week)

Forks 93

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these BaranziniLab/KG_RAG is ranked #70,987 (88th percentile) for total stargazers, and #137,160 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,488/17,098.

BaranziniLab/KG_RAG is also tagged with popular topics, for these it's ranked: llm (#529/2726), gpt (#232/1107), large-language-models (#208/1045), bioinformatics (#49/789), llama (#128/519), rag (#109/486), knowledge-graph (#66/368), prompt-engineering (#78/279), gpt4 (#50/258), llama2 (#50/237), retrieval-augmented-generation (#30/175), knowledge-base (#34/145)

Other Information

BaranziniLab/KG_RAG has 1 open pull request on Github, 11 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 16 closed issues.

There have been 3 releases, the latest one was published on 2023-12-06 (11 months ago) with the name Now run KG-RAG with flexible command line args!.

All Topics

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Github watchers over time, collection started in '23

Recent Commit History

582 commits on the default branch (main) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-20 @ 04:51pm, id: 717297137 / R_kgDOKsEV8Q