Metadata-Version: 2.4
Name: benchlite
Version: 0.1.0
Summary: A lightweight toolkit for evaluating retrieval-augmented generation (RAG) systems: recall@k, precision@k, MRR, answer similarity, and basic hallucination checks.
Author-email: Aditya Yadav <adityayadav130305@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/adityayadav13/benchlite
Project-URL: Repository, https://github.com/adityayadav13/benchlite
Project-URL: Issues, https://github.com/adityayadav13/benchlite/issues
Keywords: RAG,evaluation,metrics,NLP,retrieval,LLMs
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: sentence-transformers
Requires-Dist: tqdm

# EvalRAG

Lightweight evaluation toolkit for Retrieval-Augmented Generation (RAG) systems.

## Install

```bash
pip install evalrag
