Moderate RAG Question 92 of 223

What is reranking after retrieval?

GenAI / LLM · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: AN LLM TURN

Text inTokens
TransformerAttention
Text outNext token

Simple meaning

A reranker scores the first-stage hits more carefully, often with a cross-encoder.

1

WHY — Tokens instead of words?

LLMs use tokens (not full words) because it helps them:

RAG questions separate people

who only read docs from people who shipped.

Keep it short, concrete,

and tied to GenAI / LLM work.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

Fixed pieces are what transformers expect as input.

2

STEPS — What happens step by step?

Before you speak the answer, walk the interviewer through these steps:

  1. 1
    A reranker scores the

    first-stage hits more carefully, often with a cross-encoder.

  2. 2
    You keep the top

    few for the prompt.

  3. 3
    It cuts noise that

    would otherwise distract the generator.

  4. 4
    Give an example

    One tiny concrete case you can say aloud.

  5. 5
    Common mistake

    What juniors usually get wrong.

  6. 6
    Close

    When you pick this over the alternative.

3

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line
“You keep the top few for the prompt.”
Break into beats
Youkeepthetopfewfor
Speaking order
2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

A reranker scores the first-stage hits more carefully, often with a cross-encoder. You keep the top few for the prompt.

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