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--- |
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task_categories: |
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- question-answering |
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- text-generation |
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language: |
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- en |
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license: mit |
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tags: |
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- legal |
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- rag |
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- evaluation |
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- retrieval-augmented-generation |
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--- |
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# LRAGE: Legal Retrieval Augmented Generation Evaluation Tool |
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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. |
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This repository facilitates evaluating LLM performance on legal tasks without cumbersome engineering overhead. |
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Code: https://github.com/hoorangyee/LRAGE |
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For more details, please refer to the [LRAGE GitHub repository](https://github.com/hoorangyee/LRAGE). |
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Paper: [LARGE: Legal Retrieval Augmented Generation Evaluation Tool](https://huggingface.co/papers/2504.01840). |
