zzstoatzz.io
+9
-9
src/search.rs
+9
-9
src/search.rs
···
105
105
scored_results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
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scored_results.truncate(query.top_k);
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-
// Normalize scores to 0-0.95 range
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-
let max_score = scored_results.first().map(|(_, s)| *s).unwrap_or(1.0);
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-
let min_score = scored_results.last().map(|(_, s)| *s).unwrap_or(0.0);
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-
let score_range = (max_score - min_score).max(0.001); // avoid division by zero
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-
108
+
// Scale RRF scores to 0-1 range
109
+
// RRF scores typically range from ~0.016 (single match, low rank) to ~0.033 (dual match, high rank)
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+
// Scale by 25x to map good matches near 1.0, poor matches stay low
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let results: Vec<BufoResult> = scored_results
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.into_iter()
115
-
.filter_map(|(id, raw_score)| {
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+
.filter_map(|(id, rrf_score)| {
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all_results.get(&id).map(|row| {
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let url = row
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.attributes
···
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126
.unwrap_or(&row.id)
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.to_string();
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131
-
// Normalize score to 0-0.95 range
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-
let normalized_score = ((raw_score - min_score) / score_range) * 0.95;
129
+
// Scale and clamp RRF score to 0-1 range
130
+
// Good matches (appearing high in both searches) will approach 1.0
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+
// Weak matches will naturally be lower
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+
let scaled_score = (rrf_score * 25.0).min(1.0);
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BufoResult {
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id: row.id.clone(),
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url,
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name,
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-
score: normalized_score,
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+
score: scaled_score,
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}
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})
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})
+4
static/index.html
+4
static/index.html
···
76
76
.search-input-wrapper {
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display: flex;
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gap: 10px;
79
+
width: 100%;
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80
}
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81
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input[type="text"] {
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flex: 1;
84
+
min-width: 0;
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85
padding: 15px;
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border: 2px solid #e0e0e0;
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87
border-radius: 8px;
···
102
104
font-weight: 600;
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cursor: pointer;
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transition: background 0.3s;
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+
white-space: nowrap;
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+
flex-shrink: 0;
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}
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button:hover {