A comprehensive evaluation framework called SCARF (System for Comprehensive Assessment of RAG Frameworks) has been introduced to assess the performance of Retrieval Augmented Generation (RAG) systems.
SCARF is designed to provide a black-box approach for evaluating RAG applications in real-world deployment scenarios.
The evaluation framework supports multiple deployment configurations and automated testing across vector databases and Large Language Model (LLM) serving strategies.
SCARF integrates practical considerations such as response coherence, making it a scalable and adaptable solution for researchers and industry professionals.