Prompt

do I need a separate endpoint for reranking?

Artificial Intelligence / AI Infrastructure1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

Usually, yes — if you want a true reranking step, it’s common to expose it as a separate endpoint.

Why separate?

  • Different input/output shape: retrieval returns candidates; reranking takes those candidates and reorders them.
  • Different model behavior: rerankers often score query-document pairs, while retrieval embeds and searches.
  • Easier orchestration: your app can first call search, then rerank the top N results.

Typical setup

  1. /search or /retrieve
    Returns top-k candidate documents.
  2. /rerank
    Accepts:
    • user query
    • candidate list
    • optional metadata Returns candidates sorted by relevance score.

When you might not need a separate endpoint

  • If your backend can do retrieve + rerank internally in one request.
  • If you’re using a managed API that already combines both steps.
  • If reranking is just an optional post-processing step in the same service.

Rule of thumb

  • Separate endpoint if reranking is a distinct service, model, or scaling concern.
  • Single endpoint if you want a simpler API and can hide the rerank step behind the scenes.

If you want, I can sketch a simple API design for both options.

Observation history

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