LRAGE (Legal Retrieval Augmented Generation Evaluation) is an open-source toolkit designed to evaluate Large Language Models (LLMs) in a Retrieval-Augmented Generation (RAG) setting, specifically tailored for the legal domain.
This repository facilitates evaluating LLM performance on legal tasks without cumbersome engineering overhead.
Code:
https://github.com/hoorangyee/LRAGE
For more details, please refer to the LRAGE… See the full description on the dataset page:
https://huggingface.co/datasets/hoorangyee/barexam-qa-bm25.
