Data & Research · PyPI

ragscore

The Fastest RAG Audit - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, lightning fast, visual reports.

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Details

Author
RAGScore Team
GitHub profile
@HZYAI
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/HZYAI/RagScore
Framework
ollama
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@HZYAI

Overview

The Fastest RAG Audit - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, lightning fast, visual reports.

Quick start

pip

pip install ragscore

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

What ragscore can do

llmragaillm-as-judgelocal-llm
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Llm As Judge — llm-as-judge task automation.
  • Local Llm — local-llm task automation.

Frequently asked questions

What is ragscore?
The Fastest RAG Audit - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, lightning fast, visual reports.
How do I install ragscore?
Use pip: `pip install ragscore`. Full setup details on the source page linked above.
Is ragscore open source?
ragscore is published on PyPI.
What are alternatives to ragscore?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for ragscore is sourced from PyPI, published by RAGScore Team.

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