Eval-ai-library

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Eval-ai-library

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Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.

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# Eval AI Library

[![Python Version](https://img.shields.io/badge/python-3.9%2B-blue)](https://www.python.org/downloads/)
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![PyPI](https://img.shields.io/pypi/v/eval-ai-library)](https://pypi.org/project/eval-ai-library/)

> Based on [firstlinesoftware/eval-ai-library](https://github.com/firstlinesoftware/eval-ai-library). This is an independently maintained version with additional features and PyPI distribution.

Comprehensive AI model evaluation framework for RAG systems and AI agents. Supports 35+ evaluation metrics, 12 LLM providers, built-in test data generation from documents, and an interactive web dashboard for visualization and analysis. Implements advanced techniques including G-Eval probability-weighted scoring and Temperature-Controlled Verdict Aggregation via Generalized Power Mean.

## Installation

```bash
pip install eval-ai-library
```

Full version with document parsing and OCR support:

```bash
pip install eval-ai-library[full]
```

Lite version (core evaluation only):

```bash
pip install eval-ai-library[lite]
```

## Quick Start

```python
from eval_lib import EvalAI

evaluator = EvalAI(model="gpt-4o")

result = evaluator.evaluate(
    input="What is Python?",
    actual_output="Python is a programming language.",
    expected_output="Python is a high-level programming language.",
    metrics=["answer_relevancy", "faithfulness"]
)

print(result.score)
```

## Documentation

Full documentation is available at [library.eval-ai.com](https://library.eval-ai.com).

## License

This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.

## Citation

If you use this library in your research, please cite:
```bibtex
@software{eval_ai_library,
  author = {Meshkov, Aleksandr},
  title = {Eval AI Library: Comprehensive AI Model Evaluation Framework},
  year = {2025},
  url = {https://github.com/meshkovQA/Eval-ai-library.git}
}
```

### References

This library implements techniques from:
```bibtex
@inproceedings{liu2023geval,
  title={G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment},
  author={Liu, Yang and Iter, Dan and Xu, Yichong and Wang, Shuohang and Xu, Ruochen and Zhu, Chenguang},
  booktitle={Proceedings of EMNLP},
  year={2023}
}
```

## Support

- Issues: [GitHub Issues](https://github.com/meshkovQA/Eval-ai-library/issues)
- Documentation: [library.eval-ai.com](https://library.eval-ai.com)

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