Metadata-Version: 2.4
Name: ragbits-evaluate
Version: 1.2.0
Summary: Evaluation module for Ragbits components
Project-URL: Homepage, https://github.com/deepsense-ai/ragbits
Project-URL: Bug Reports, https://github.com/deepsense-ai/ragbits/issues
Project-URL: Documentation, https://ragbits.deepsense.ai/
Project-URL: Source, https://github.com/deepsense-ai/ragbits
Author-email: "deepsense.ai" <ragbits@deepsense.ai>
License-Expression: MIT
Keywords: Evaluation,GenAI,Generative AI,LLMs,Large Language Models,RAG,Retrieval Augmented Generation
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Requires-Dist: datasets<4.0.0,>=3.0.1
Requires-Dist: distilabel<2.0.0,>=1.5.0
Requires-Dist: hydra-core<2.0.0,>=1.3.2
Requires-Dist: neptune[optuna]<2.0.0,>=1.12.0
Requires-Dist: optuna<5.0.0,>=4.0.0
Requires-Dist: ragbits-core==1.2.0
Provides-Extra: relari
Requires-Dist: continuous-eval<1.0.0,>=0.3.12; extra == 'relari'
Description-Content-Type: text/markdown

# Ragbits Evaluate

Ragbits Evaluate is a package that contains tools for evaluating the performance of AI pipelines defined with Ragbits components. It also helps with automatically finding the best hyperparameter configurations for them.

## Installation

To install the Ragbits Evaluate package, run:

```sh
pip install ragbits-evaluate
```

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TODO: Add a minimalistic example inspired by the Quickstart chapter on Ragbits Evaluate once it is ready.
-->

## Documentation
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TODO:
* Add link to the Quickstart chapter on Ragbits Evaluate once it is ready.
* Add link to API Reference once classes from the Evaluate package are added to the API Reference.
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* [How-To Guides - Evaluate](https://ragbits.deepsense.ai/how-to/evaluate/optimize/)
