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We take the security of RAGAS seriously. If you discover a security vulnerability in this project, please report it to us privately. Do not report security vulnerabilities through public GitHub issues...
site_description: Evaluation framework for your AI Application
<img style="vertical-align:middle" height="200"
INHERIT: ./mkdocs.yml
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
mkdocs:
.DS_Store
No description available.
repos:
test_resources
Version 2.0, January 2004
pycache/
- repo: https://github.com/psf/black
For issues in this repo you can mention one or more of:
Thanks for thinking about contributing to DeepEval! We accept fixes, improvements, or even entire new features. Some reasons why you might want to contribute:
This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations."
*.ipynb
Copyright (c) 2023 OpenAI
For a more in-depth look at our security policy, please check out our [Coordinated Vulnerability Disclosure Policy](https://openai.com/security/disclosure/#:~:text=Disclosure%20Policy,-Security%20is%2...
- repo: https://github.com/pre-commit/mirrors-mypy
You can now configure and run Evals directly in the OpenAI Dashboard. Get started →
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