Find agent skills by outcome

The .dockerignore file excludes files from the container build process.

.git

Python

pycache

🌋 LLaVA: Large Language and Vision Assistant

Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.

root = true

[*]

https://git-scm.com/docs/gitattributes

* text=auto

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

INHERIT: ./mkdocs.yml

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...

Code of Conduct

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, fam...

Untitled Skill

<img style="vertical-align:middle" height="200"

site_name: Ragas

site_description: Evaluation framework for your AI Application

General

.DS_Store

.gitattributes

No description available.

CLAUDE.md

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

version: 2

mkdocs:

Pre-commit configuration for entire ragas monorepo

repos:

Dockerfile

test_resources

Untitled Skill

Byte-compiled / optimized / DLL files

pycache/

Apache License

Version 2.0, January 2004

repos:

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

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:

Maintainers

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

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."