Development Guide for Ragas Monorepo
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
Explore
68,129 skills indexed with the new KISS metadata standard.
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
repos:
.DS_Store
mkdocs:
No description available.
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%">
__pycache__/
For issues in this repo you can mention one or more of:
Version 2.0, January 2004
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
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%20essential&text=OpenAI%27s%20coordinated%20vulnerability%20disclosure%20policy,expect%20from%20us%20
> You can now configure and run Evals directly in the OpenAI Dashboard. [Get started →](https://platform.openai.com/docs/guides/evals)
- repo: https://github.com/pre-commit/mirrors-mypy
generic skill
evals.egg-info/
[](https://doi.org/10.5281/zenodo.10256836)
.DS_Store
exclude: ^tests/testdata/