Retrieval Augmented Generation (RAG) › Evaluating RAG System Performance

How does Evaluating RAG System Performance work

Beginner

Answer

Teams check both retrieval quality, such as whether the right documents were found, and generation quality, such as whether the final answer is accurate and properly grounded in the retrieved content.

Real-world example A team evaluates their RAG system by checking whether answers accurately reflect the retrieved documents instead of contradicting them.

Common follow-ups: What is Retrieval Augmented Generation (RAG), How is Evaluating RAG System Performance evaluated in practice, What tools are commonly used for Evaluating RAG System Performance

Retrieval Augmented Generation (RAG) topics: Introduction to Retrieval Augmented Generation Vector Databases for RAG Embedding Models for Retrieval