Best Practices for Search Relevance Datasets

Retrieval-Augmented Generation (RAG) has made search relevance more critical than ever. An LLM is only as good as the context it retrieves.

We construct 'Golden Datasets' for search evaluation by pairing queries with documents graded by human experts on a multi-point relevance scale.

Our approach focuses on user intent modeling, distinguishing between navigational, informational, and transactional queries.