Auto-Playground / ragrank

🎯 Your free LLM evaluation toolkit helps you assess the accuracy of facts, how well it understands context, its tone, and more. This helps you see how good your LLM applications are.

Date Created 2024-02-17 (4 months ago)

Commits 278 (last one about a month ago)

Stargazers 25 (1 this week)

Watchers 1 (0 this week)

Forks 8

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these Auto-Playground/ragrank is ranked #529,907 (1st percentile) for total stargazers, and #497,194 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #102,485/103,470.

Auto-Playground/ragrank is also tagged with popular topics, for these it's ranked: machine-learning (#7,337/7371), llm (#2,013/2043), language-model (#454/458), rag (#284/288), prompt-engineering (#221/228), llmops (#127/131)

Other Information

Auto-Playground/ragrank has Github issues enabled, there are 3 open issues and 6 closed issues.

There have been 7 releases, the latest one was published on 2024-05-05 (about a month ago) with the name v0.0.7.

Homepage URL: https://ragrank.readthedocs.io/

All Topics

llm rag llmops llm-eval evaluation language-model machine-learning prompt-engineering

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Recent Commit History

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

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Languages

The primary language is Python but there's also others...

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updated: 2024-06-23 @ 09:33am, id: 759017360 / R_kgDOLT2vkA