Translation · GitHub ·4 ★

MEMERAG

MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation

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Details

Author
amazon-science
Category
Translation
Platform
GitHub
Framework
custom
Language
python
Stars
4
First indexed
2026-05-15
Last active
2026-02-11
Directory sync
2026-05-15
@amazon-science

Overview

MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation

Quick start

git

git clone https://github.com/amazon-science/MEMERAG

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

What MEMERAG can do

ragmultilingual
  • Rag — Retrieves grounded context before answering.
  • Multilingual — multilingual task automation.

Frequently asked questions

What is MEMERAG?
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
How do I install MEMERAG?
Use git: `git clone https://github.com/amazon-science/MEMERAG`. Full setup details on the source page linked above.
Is MEMERAG open source?
MEMERAG is published on GitHub.
What are alternatives to MEMERAG?
Comparable agents include PDFMathTranslate, faster-whisper, Easydict. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for MEMERAG is sourced from GitHub, published by amazon-science.

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