intermediate

Golden-Set Design for RAG Faithfulness

Understand how to design a golden set for evaluating the faithfulness of Retrieval-Augmented Generation (RAG) models. Prerequisites include familiarity with RAG systems and evaluation metrics.

18 min read

RAGevaluationbenchmarking

Updated todayInformation score 5

Key insights

Concrete technical or product signals.

A well-designed golden set can improve evaluation accuracy by up to 40%.
Regular updates to the golden set are crucial for maintaining relevance.

Use cases

Where this shines in production.

Evaluating the performance of RAG models in legal document generation.
Benchmarking RAG systems in customer service chatbots.

Limitations & trade-offs

What to watch for.

Creating a golden set can be time-consuming and resource-intensive.
Maintaining the relevance of the golden set requires ongoing effort.

What is a Golden Set?

A golden set is a curated dataset used for benchmarking model outputs.

Design Principles

Ensure diversity in the dataset to cover various scenarios.
Include both correct and incorrect outputs for comprehensive evaluation.
Regularly update the golden set based on model improvements.