Evaluate and optimize your AI applications with automated tests and objective metrics for better performance.
From the README
pip install ragas
- 🎯 Objective Metrics: Evaluate your LLM applications with precision using both LLM-based and traditional metrics.
- 🧪 Test Data Generation: Automatically create comprehensive test datasets covering a wide range of scenarios.
- 🔗 Seamless Integrations: Works flawlessly with popular LLM frameworks like LangChain and major observability tools.
- 📊 Build feedback loops: Leverage production data to continually improve your LLM applications.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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ragas has 15.5k stars on GitHub. It has been forked 1.7k times. ragas is written mainly in Python. It has been in active development since 2023. ragas is available under the Apache-2.0 license. Its main topics are evaluation, llm, llmops.
What is ragas?
Supercharge Your LLM Application Evaluations 🚀
Is ragas open source?
ragas is an open-source project. It is released under the Apache-2.0 license.
Is ragas free?
Yes. ragas is free and open source — you can use, modify and self-host it.
What license does ragas use?
ragas is available under the Apache-2.0 license.
What language is ragas written in?
ragas is written mainly in Python.
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