High RAG Question 160 of 223

How do you verify citations at quote level, not just document level?

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

Text inTokens

TransformerAttention

Text outNext token

Require the model to quote spans, then check that each quote is a substring of a retrieved chunk.

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

This is a process

question about RAG.

Panels listen for order,

trade-offs, and what you would actually do on a GenAI / LLM project - not buzzwords.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

Fixed pieces are what transformers expect as input.

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

1
Require the model to
quote spans, then check that each quote is a substring of a retrieved chunk.
2
Why it exists
Reject or regenerate on mismatch.
3
Document-level citations can be
true as IDs and still support a sentence the chunk never said.
4
Give an example
One tiny concrete case you can say aloud.
5
Common mistake
What juniors usually get wrong.
6
Close
When you pick this over the alternative.

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

Say this line

“Reject or regenerate on mismatch.”

Break into beats

Rejectorregenerateonmismatch

Speaking order

298740833747163290

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

Require the model to quote spans, then check that each quote is a substring of a retrieved chunk. Reject or regenerate on mismatch.