Ragas Files

Supercharge Your LLM Application Evaluations

This is an exact mirror of the Ragas project, hosted at https://github.com/explodinggradients/ragas. SourceForge is not affiliated with Ragas.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
v0.4.3	2026-01-13		0
v0.4.2	2025-12-23		0
v0.4.1	2025-12-10		0
v0.4.0	2025-12-03		0
v0.3.9	2025-11-11		0
Totals: 5 Items			0

Other Useful Business Software

Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build generative AI apps with Vertex AI. Switch between models without switching platforms.

Start Free

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Recommended Projects

Opik
Debug, evaluate, and monitor your LLMapps, RAG systems, and agentic AI
DeepEval
DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence.
promptfoo
Evaluate and compare LLM outputs, catch regressions, improve prompts
Agentic
AI agent stdlib that works with any LLM and TypeScript AI SDK
LLM Action
Technical principles related to large models

Ragas Files

Supercharge Your LLM Application Evaluations

Get an email when there's a new version of Ragas