RAG Latency Tradeoffs That Matter

Retrieval systems fail when teams optimize one metric in isolation.

Reducing latency is not only about faster vector search. It also depends on:

• the number of retrieved chunks,
• chunk quality,
• reranker complexity,
• and downstream model context size.

A disciplined approach sets budgets per stage and enforces them in CI.