Relevance Guidance Improves Agentic Search via Corpus Interaction

Agentic search workflows benefit from explicit relevance guidance during corpus interaction to reduce noise in retrieval steps. The method optimizes how agents navigate large datasets by prioritizing information density over simple keyword matching.