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site_name: Ragas

site_description: Evaluation framework for your AI Application

Development Guide for Ragas Monorepo

This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.

Security Policy

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...

This file inherits settings from mkdocs.yml but adds the PDF plugin.

INHERIT: ./mkdocs.yml

General

.DS_Store

version: 2

mkdocs:

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Pre-commit configuration for entire ragas monorepo

repos:

.gitattributes

No description available.

Dockerfile

test_resources

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Maintainers

For issues in this repo you can mention one or more of:

Apache License

Version 2.0, January 2004

repos:

- repo: https://github.com/psf/black

Byte-compiled / optimized / DLL files

pycache/

Contributing to DeepEval 🥳

Thanks for thinking about contributing to DeepEval! We accept fixes, improvements, or even entire new features. Some reasons why you might want to contribute:

Model-Written Evaluation Datasets

This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations."

*.py

*.ipynb

Security Policy

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...

repos:

- repo: https://github.com/pre-commit/mirrors-mypy

OpenAI Evals

You can now configure and run Evals directly in the OpenAI Dashboard. Get started →

MIT License

Copyright (c) 2023 OpenAI

pycache/

evals.egg-info/

evals/registry/data//*.jsonl filter=lfs diff=lfs merge=lfs -text

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