Ragas
Open-source LLM evaluation framework
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.
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Last Updated: March 13, 2026
Current Valuation
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Funding Summary
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Media Mention
June 17, 2026
DEV Community: LLM Evaluation in Production: Building the Eval Pipeline That Runs on Every Deploy - DEV Community
Media Mention
June 11, 2026
DEV Community: RAG-Based Testing Series — Part 3: Faithfulness & Hallucination Detection - DEV Community
Media Mention
June 11, 2026
DEV Community: RAG-Based Testing Series — Part 4: Edge Cases — What Breaks RAG & How to Catch It - DEV Community
OSS News & Views
June 11, 2026
Particula Tech: DeepEval vs RAGAS vs TruLens: Pick Your RAG Eval Stack
OSS News & Views
June 9, 2026
Langfuse: Evaluation of RAG pipelines with Ragas - Langfuse
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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
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