RAG-evaluation-harnesses and RAG-Evaluator

RAG-evaluation-harnesses
35
Emerging
RAG-Evaluator
33
Emerging
Maintenance 2/25
Adoption 6/25
Maturity 16/25
Community 11/25
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 14/25
Stars: 23
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 4
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About RAG-evaluation-harnesses

RulinShao/RAG-evaluation-harnesses

An evaluation suite for Retrieval-Augmented Generation (RAG).

This project helps evaluate how well your Retrieval-Augmented Generation (RAG) system performs on various question-answering tasks. You provide your RAG model's retrieved documents and the questions, and it outputs performance scores. This tool is for researchers, developers, or MLOps engineers who are building and fine-tuning RAG systems and need to rigorously benchmark their effectiveness.

RAG-evaluation LLM-benchmarking NLP-research AI-model-testing information-retrieval

About RAG-Evaluator

GURPREETKAURJETHRA/RAG-Evaluator

A library for evaluating Retrieval-Augmented Generation (RAG) systems

Related comparisons

RAG-evaluation-harnesses and open-rag-eval RAG-evaluation-harnesses and XRAG RAG-evaluation-harnesses and rag-evaluator RAG-evaluation-harnesses and rageval RAG-evaluation-harnesses and open-rag-eval RAG-evaluation-harnesses and rag-evaluator

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