Multi-Query Retrieval — AI Glossary

Multi-query retrieval is a RAG pattern that hedges against the single-query-phrasing failure mode of standard retrieval. Before hitting the index, the pipeline uses an LLM to generate several paraphrased or reframed versions of the user query — a literal rephrase, a broader abstraction, a narrower specialization, a keyword-only variant.