Code & Development · PyPI

proofrag

Point your agent at your docs and your RAG app; get a golden test set + an LLM-as-judge & retrieval scorecard, in one command.

Details

Author
Ansh Dawda
GitHub profile
@unshDee
Category
Code & Development
Platform
PyPI
GitHub
https://github.com/unshDee/proofrag
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-01
Last active
Directory sync
2026-06-01

Overview

Point your agent at your docs and your RAG app; get a golden test set + an LLM-as-judge & retrieval scorecard, in one command.

Quick start

pip

pip install proofrag

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

What proofrag can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.
  • Agent Skills — agent-skills task automation.

Frequently asked questions

What is proofrag?
Point your agent at your docs and your RAG app; get a golden test set + an LLM-as-judge & retrieval scorecard, in one command.
How do I install proofrag?
Use pip: `pip install proofrag`. Full setup details on the source page linked above.
Is proofrag open source?
proofrag is published on PyPI.
What are alternatives to proofrag?
Comparable agents include ECC, system-prompts-and-models-of-ai-tools, claude-code. 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 proofrag is sourced from PyPI, published by Ansh Dawda.

Last scraped: · First indexed:

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