Package · PyPI
PyPI · v0.3.27 · Licence not reported
Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install autoragPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
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