Marker-Inc-Korea / AutoRAG

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Date Created 2024-01-10 (about a year ago)

Commits 847 (last one 16 days ago)

Stargazers 3,700 (25 this week)

Watchers 31 (0 this week)

Forks 288

License apache-2.0

Ranking

RepositoryStats indexes 628,868 repositories, of these Marker-Inc-Korea/AutoRAG is ranked #13,957 (98th percentile) for total stargazers, and #69,649 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,170/128,166.

Marker-Inc-Korea/AutoRAG is also tagged with popular topics, for these it's ranked: python (#980/23309), llm (#217/3493), open-source (#151/2897), optimization (#23/934), rag (#55/675), pipeline (#25/458), analysis (#14/423), embeddings (#13/377), retrieval-augmented-generation (#14/228), automl (#17/218), qa (#5/107)

Other Information

Marker-Inc-Korea/AutoRAG has 8 open pull requests on Github, 467 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 119 open issues and 485 closed issues.

There have been 58 releases, the latest one was published on 2025-03-03 (16 days ago) with the name v0.3.14.

Homepage URL: https://auto-rag.com/

All Topics

qa llm ops rag automl python llm-ops analysis pipeline embeddings evaluation open-source benchmarking optimization llm-evaluation rag-evaluation document-parser retrieval-augmented-generation

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Github watchers over time, collection started in '23

Recent Commit History

847 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: 2025-03-19 @ 10:21pm, id: 741450201 / R_kgDOLDGh2Q