Testset Generation ↗

Curating a high quality test dataset is crucial for evaluating the performance of your AI application.

Characteristics of an Ideal Test Dataset#

• Contains high quality data samples
• Covers wide variety of scenarios as observed in real world.
• Contains enough number of samples to derive statistically significant conclusions.
• Continually updated to prevent data drift

Curating such a dataset manually can be time-consuming and expensive. Ragas provides a set of tools to generate synthetic test datasets for evaluating your AI applications.

• RAG for evaluating retrieval augmented generation pipelines
• Agents or Tool use for evaluating agent workflows