Image & Vision · PyPI

mmeval-vrag

Evaluation framework for Multimodal Vision-Language RAG systems — measure retrieval quality, hallucination, faithfulness, and cross-modal alignment in one unified pipeline.

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Details

Author
Emmanuelle Bourigault
GitHub profile
@EmmanuelleB985
Category
Image & Vision
Platform
PyPI
GitHub
https://github.com/EmmanuelleB985/mmeval-vrag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@EmmanuelleB985

Overview

Evaluation framework for Multimodal Vision-Language RAG systems — measure retrieval quality, hallucination, faithfulness, and cross-modal alignment in one unified pipeline.

Quick start

pip

pip install mmeval-vrag

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

What mmeval-vrag can do

llmragairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is mmeval-vrag?
Evaluation framework for Multimodal Vision-Language RAG systems — measure retrieval quality, hallucination, faithfulness, and cross-modal alignment in one unified pipeline.
How do I install mmeval-vrag?
Use pip: `pip install mmeval-vrag`. Full setup details on the source page linked above.
Is mmeval-vrag open source?
mmeval-vrag is published on PyPI.
What are alternatives to mmeval-vrag?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for mmeval-vrag is sourced from PyPI, published by Emmanuelle Bourigault.

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