Persistent’s Evaluation Framework provides a robust, enterprise-grade method to assess Generative AI (GenAI) applications across unstructured, structured, and graph data. It uses black-box and white-box testing, automated and manual test data generation, and evaluates metrics like answer correctness, relevance, and faithfulness. It supports agentic workflows and Responsible AI by tracking agent trajectories and detecting biases. Designed for RAG use cases, the framework offers insights across the development lifecycle, ensuring reliable, ethical, and high-performing GenAI application deployment.

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