This 2-Step LLM Gate Pattern Makes RAG Systems Faster and Cheaper
SMRTR summary
Most AI systems using RAG (Retrieval-Augmented Generation) waste money and slow down by searching their entire knowledge base for every user query — even simple ones like "thanks." A smarter approach uses a two-step gate pattern: a cheap first LLM call decides whether retrieval is even needed, and only then does a second LLM either search the database or respond directly, cutting unnecessary costs and improving response times significantly.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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