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This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
site_description: Evaluation framework for your AI Application
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repos:
mkdocs:
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
test_resources
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Version 2.0, January 2004
- repo: https://github.com/psf/black
__pycache__/
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
> You can now configure and run Evals directly in the OpenAI Dashboard. [Get started →](https://platform.openai.com/docs/guides/evals)
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- repo: https://github.com/pre-commit/mirrors-mypy
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evals.egg-info/
generic skill