🔧 One query is never enough: why top RAG systems search three times

LangChain has MultiQueryRetriever. LlamaIndex has SubQuestionQueryEngine. Every serious RAG framework decomposes user questions into multiple search queries before hitting the vector database.

Why? Because a single embedding compresses your entire question into one point in vector space. And one point can only land in one neighborhood.

Take this...