A single well-designed lexical query informed by LLM-predicted vocabulary and corpus statistics outperforms expensive multi-round retrieval agents—you don't need complex agentic loops if you get the query right upfront.
SIRA is a retrieval agent that replaces multi-round exploratory search with a single, smarter query by using an LLM to predict missing search terms and filter them against corpus statistics.