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INHERIT: ./mkdocs.yml
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
We are committed to providing a welcoming and inclusive environment for all people, regardless of age, body size, caste, disability, ethnicity, gender identity and expression, level of experience, family status, gender, immigration status, level of expertise, national origin, personal appearance, po
site_description: Evaluation framework for your AI Application
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, discussions, or pull requests.**
.DS_Store
repos:
mkdocs:
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
test_resources
<img src="https://github.com/confident-ai/deepeval/blob/main/docs/static/img/deepeval.png" alt="DeepEval Logo" width="100%">
Version 2.0, January 2004
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:
- repo: https://github.com/psf/black
__pycache__/
This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations."
*.ipynb
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%20essential&text=OpenAI%27s%20coordinated%20vulnerability%20disclosure%20policy,expect%20from%20us%20
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> You can now configure and run Evals directly in the OpenAI Dashboard. [Get started →](https://platform.openai.com/docs/guides/evals)