AI Infrastructure · PyPI

rag-forge-evaluator

Evaluation engine: RAGAS, DeepEval, LLM-as-Judge, and audit report generation

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Details

Author
Femi Adedayo
GitHub profile
@hallengray
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/hallengray/rag-forge
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@hallengray

Overview

Evaluation engine: RAGAS, DeepEval, LLM-as-Judge, and audit report generation

Quick start

pip

pip install rag-forge-evaluator

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

What rag-forge-evaluator can do

llmragllm-as-judge
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Llm As Judge — llm-as-judge task automation.

Frequently asked questions

What is rag-forge-evaluator?
Evaluation engine: RAGAS, DeepEval, LLM-as-Judge, and audit report generation
How do I install rag-forge-evaluator?
Use pip: `pip install rag-forge-evaluator`. Full setup details on the source page linked above.
Is rag-forge-evaluator open source?
rag-forge-evaluator is published on PyPI.
What are alternatives to rag-forge-evaluator?
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 rag-forge-evaluator is sourced from PyPI, published by Femi Adedayo.

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