Ragas
San Francisco, United States
Founded 2023
Ragas is an open-source framework designed to evaluate and optimize Large Language Model (LLM) applications. It provides objective metrics, intelligent test data generation, and data-driven insights to streamline evaluation workflows and improve LLM performance.
Websites:
Last Updated: March 13, 2026
Current Valuation
No valuation data available
Funding Summary
No funding data available.
Media Mention
April 17, 2026
Braintrust: Best Galileo AI alternatives for LLM evaluation in 2026
Media Mention
April 17, 2026
Descope: DeepEval vs. RAGAS vs. LangSmith: Choosing the Right Evaluation Framework
OSS News & Views
April 10, 2026
Atlan: RAGAS, TruLens, DeepEval: LLM Evaluation Frameworks (2026)
OSS News & Views
April 2, 2026
Microsoft Tech Community Blog: How Do We Know AI Isn’t Lying? The Art of Evaluating LLMs in RAG Systems
Announcement
March 5, 2024
Y Combinator: Ragas: Open-source evaluation and testing Infrastructure for LLM applications
Key People
Core OSS Projects
ragas
Supercharge Your LLM Application Evaluations 🚀 Objective metrics, intelligent test generation, and data-driven insights for LLM apps.
License: Apache-2.0
Business Information
Industries
Data & Analytics
Technologies
LLMs
RAG
Python
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Developers
Licenses
Apache-2.0
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