AI Infrastructure · PyPI

eval-rag

A comprehensive evaluation toolkit for assessing Retrieval-Augmented Generation (RAG) outputs using linguistic, semantic, and fairness metrics

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Details

Author
Mohamed Shaad
GitHub profile
@shaadclt
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/shaadclt/EvalRAG
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@shaadclt

Overview

A comprehensive evaluation toolkit for assessing Retrieval-Augmented Generation (RAG) outputs using linguistic, semantic, and fairness metrics

Quick start

pip

pip install eval-rag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What eval-rag can do

ragairetrieval
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is eval-rag?
A comprehensive evaluation toolkit for assessing Retrieval-Augmented Generation (RAG) outputs using linguistic, semantic, and fairness metrics
How do I install eval-rag?
Use pip: `pip install eval-rag`. Full setup details on the source page linked above.
Is eval-rag open source?
eval-rag is published on PyPI.
What are alternatives to eval-rag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for eval-rag is sourced from PyPI, published by Mohamed Shaad.

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