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ai_rag_llamaindex vs scikit-learn

ai_rag_llamaindex and scikit-learn are both developer tools skills. scikit-learn scores higher (89 vs 20 out of 100). scikit-learn has more GitHub stars (48k), and scikit-learn was updated more recently (today). The table compares them side by side.

ai_rag_llamaindexscikit-learn
Score20 / 10089 / 100
What it doesBuild or debug document ingestion, indexing, retrieval, and synthesis pipelines inspired by LlamaIndex-style RAG systems. Use when the task involves loading files, building retrieval over them, and answering or acting with cited context.Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
PublisherCommunity: Wang200935Community: sickn33
GradesMaintenance C, Licence F, Quality CMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars148,364
Last commit18 May 202623 Oct 2026
LicenceNone foundMIT
Listed since19 Oct 202622 Oct 2026
Install ai_rag_llamaindexInstall scikit-learn

Questions

Is ai_rag_llamaindex or scikit-learn more popular?

scikit-learn has more GitHub stars: 48,364.

Can I use ai_rag_llamaindex and scikit-learn together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.