RagasBuilding the open source standard for evaluating LLM Applications

Ragas: Elevate Your LLM Application Performance

Introduction

Ragas is a cutting-edge framework designed to evaluate and enhance the performance and robustness of your LLM (Large Language Model) applications. Leveraging state-of-the-art research and pragmatic engineering practices, Ragas provides comprehensive metrics and insights to ensure your LLM applications meet the highest standards.

Key Features

• Automatic Metrics: Understand the performance and robustness of your LLM application with ease.
• Synthetic Evaluation Data: Generate high-quality, diverse evaluation data tailored to your specific requirements.
• Online Monitoring: Evaluate and ensure the quality of your LLM application in production, using insights to drive continuous improvement.

Use Cases

• Performance Evaluation: Measure context relevance, recall, precision, and other critical metrics to ensure your LLM application performs optimally.
• Quality Assurance: Maintain high standards of faithfulness, answer relevancy, context precision, and context recall.
• Data Generation: Create custom datasets for specific evaluation needs, such as financial reports or customer service interactions.

Pricing

Ragas offers flexible pricing plans to suit various needs, from individual developers to large enterprises. Contact us for detailed pricing information and to find the plan that best fits your requirements.

Teams

Ragas is developed by a passionate team of AI researchers and engineers dedicated to empowering visionaries in the LLM space. Our team includes:

• Shahul: Applied AI Researcher and Kaggle Grandmaster.
• Jithin James: Chief Maintainer, previously at BentoML.

We are always on the lookout for talented individuals who share our vision. If you are passionate about AI and want to join our team, reach out to us at [email protected].

For support or questions regarding Ragas, join our Discord community and engage with us in the #questions chatroom. For enterprise features and collaborations, email us or talk directly to our founders.