lexora / apps /web /components /ScoreLadder.tsx
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import { cn } from "@/lib/cn";
import type { ChunkView } from "@/lib/api";
/**
* The score ladder: how a passage got here, left to right.
*
* D·3 S·7 → RRF .0312 → CE +5.11
*
* This is the structural device of the interface, and it is not decorative numbering —
* every figure is a real intermediate value from the retrieval run. A passage found by
* only one retriever visibly shows the gap where the other rank would be, which is the
* clearest possible argument for why hybrid retrieval exists.
*/
export function ScoreLadder({ chunk, className }: { chunk: ChunkView; className?: string }) {
return (
<div className={cn("instrument flex flex-wrap items-center gap-x-2 gap-y-0.5", className)}>
<span
className={chunk.dense_rank ? "text-ink-soft" : "text-ink-faint/50"}
title={
chunk.dense_score !== null
? `dense rank ${chunk.dense_rank}, cosine ${chunk.dense_score.toFixed(4)}`
: "not returned by dense retrieval"
}
>
D·{chunk.dense_rank ?? "—"}
</span>
<span
className={chunk.sparse_rank ? "text-ink-soft" : "text-ink-faint/50"}
title={
chunk.sparse_score !== null
? `BM25 rank ${chunk.sparse_rank}, score ${chunk.sparse_score.toFixed(3)}`
: "not returned by sparse retrieval"
}
>
S·{chunk.sparse_rank ?? "—"}
</span>
<span aria-hidden className="text-ink-faint/40"></span>
<span className="text-ink-soft" title="Reciprocal Rank Fusion score">
RRF {chunk.rrf_score !== null ? chunk.rrf_score.toFixed(4).replace(/^0/, "") : "—"}
</span>
{chunk.rerank_score !== null ? (
<>
<span aria-hidden className="text-ink-faint/40"></span>
<span
className={chunk.rerank_score >= 0 ? "text-indigo" : "text-ochre"}
title={
chunk.rerank_probability !== null
? `cross-encoder logit; ${(chunk.rerank_probability * 100).toFixed(1)}% relevance`
: "cross-encoder logit"
}
>
CE {chunk.rerank_score >= 0 ? "+" : ""}
{chunk.rerank_score.toFixed(2)}
</span>
</>
) : null}
</div>
);
}