Metadata-Version: 2.4
Name: adv-rag-eval
Version: 0.1.0
Summary: A standalone, zero-cost RAG hallucination evaluator.
Author: Bhavya Shah
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: llama-cpp-python>=0.2.56
Requires-Dist: huggingface-hub>=0.20.0
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
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# Adversarial RAG Evaluator (adv-rag-eval)

A fully local, zero-cost Python library to evaluate RAG pipelines for hallucinations. 
Powered by a custom fine-tuned Llama-3 model.

## Installation
`pip install adv-rag-eval`

## Usage
```python
from adv_rag_eval import evaluate_answer

result = evaluate_answer("Context here...", "Answer here...")
print(result)
