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 (10 months ago)

Commits 280 (last one 3 months ago)

Stargazers 29 (0 this week)

Watchers 1 (0 this week)

Forks 12

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these Auto-Playground/ragrank is ranked #574,441 (4th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #114,361/119,431.

Auto-Playground/ragrank is also tagged with popular topics, for these it's ranked: machine-learning (#7,877/8063), llm (#2,691/2913), rag (#488/532), language-model (#494/517), prompt-engineering (#267/286), llmops (#159/171)

Other Information

Auto-Playground/ragrank has Github issues enabled, there are 3 open issues and 7 closed issues.

There have been 7 releases, the latest one was published on 2024-05-05 (7 months 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

280 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: 2024-12-21 @ 02:13am, id: 759017360 / R_kgDOLT2vkA