Retrieval Augmented Generation (RAG) › Evaluating RAG System Performance

What are best practices for Evaluating RAG System Performance

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Answer

When working with Evaluating RAG System Performance, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

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