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 (6 months ago)

Commits 566 (last one 15 days ago)

Stargazers 416 (6 this week)

Watchers 15 (0 this week)

Forks 59

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these BaranziniLab/KG_RAG is ranked #97,307 (81st percentile) for total stargazers, and #141,275 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,014/14,471.

BaranziniLab/KG_RAG is also tagged with popular topics, for these it's ranked: llm (#506/1875), gpt (#246/939), large-language-models (#230/795), bioinformatics (#88/715), llama (#143/411), knowledge-graph (#85/319), rag (#73/247), gpt4 (#55/231), llama2 (#64/222), prompt-engineering (#81/221), knowledge-base (#40/131), retrieval-augmented-generation (#30/106)

Other Information

BaranziniLab/KG_RAG has Github issues enabled, there is 1 open issue and 10 closed issues.

There have been 3 releases, the latest one was published on 2023-12-06 (5 months ago) with the name Now run KG-RAG with flexible command line args!.

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

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

updated: 2024-05-31 @ 08:45am, id: 717297137 / R_kgDOKsEV8Q