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A CLI tool that automates RAG hyperparameter optimization using Bayesian search and synthetic data generation
pip install autorag-optim
PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=5.6.0>=0.4.0>=1.0.0>=0.28.1>=0.4.1>=1.2.0>=1.2.0>=4.6.0>=0.1>=2.9.11>=2.12.0>=2.12.5The compact report shows 12 of 31 declarations. The interactive dependency graph loads the complete metadata.
autorag-optim publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .