rageval and RAG-Evaluator

rageval
36
Emerging
RAG-Evaluator
33
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 10/25
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 14/25
Stars: 170
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
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 rageval

gomate-community/rageval

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

This tool helps evaluate the performance of your Retrieval-Augmented Generation (RAG) systems. It takes the outputs from various stages of your RAG pipeline—like rewritten queries, retrieved documents, and generated answers—and provides comprehensive scores on how well your system is performing across aspects like answer correctness, factual consistency, and document relevance. It is designed for AI/ML engineers or researchers building and refining RAG-based applications.

AI-evaluation NLP-benchmarking Generative-AI-testing LLM-performance Information-retrieval-quality

About RAG-Evaluator

GURPREETKAURJETHRA/RAG-Evaluator

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

Related comparisons

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work