Day 19: Why reranking is where retrieval becomes useful
How reranking turns broad retrieval candidates into evidence the answer can depend on.

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Series
A practical series on making RAG evidence stronger after the first retrieval pass. It covers reranking, citations, parent-child context, multi-query retrieval, query decomposition, and graph RAG patterns for answers that need more than a single document match.
How reranking turns broad retrieval candidates into evidence the answer can depend on.

Why important AI claims need receipts that users and teams can inspect.

Why good RAG often needs both precise snippets and enough surrounding context.

Why one user question may need multiple searches before the evidence is good enough.

Why complex questions become more reliable when the system answers them in parts.

Why some answers depend on relationships that plain document search can miss.
