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<title>Electronics catalog: lexical vs semantic vs hybrid</title>
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</head>
<body>
<header>
<h1>Electronics catalog: lexical vs semantic vs hybrid</h1>
<div class="meta" id="meta"></div>
</header>
<nav>
<a href="#overview">Overview</a>
<a href="#summary">Metrics</a>
<a href="#comparison">Comparison</a>
<a href="#languages">Languages</a>
<a href="#pairwise">Pairwise</a>
<a href="#judging">Judges</a>
<a href="#cost">Cost</a>
<a href="#queries">Queries</a>
</nav>
<main>
<section id="overview"><h2>Overview</h2><div class="cards" id="overview-cards"></div></section>
<section id="summary">
<h2>Metrics</h2>
<div id="summary-table"></div>
<div class="row" style="margin-top:14px"><label for="metric-select">Chart</label>
<select id="metric-select"></select></div>
<div id="metric-chart"></div>
<p class="note" id="summary-note"></p>
</section>
<section id="comparison">
<h2>System comparison</h2>
<div id="comparison-table"></div>
<p class="note">p-values come from a two-sided paired randomization test;
* marks p &lt; 0.05.</p>
<div class="row">
<label for="compare-select">System</label><select id="compare-select"></select>
</div>
<p class="note" id="delta-note"></p>
<div id="delta-chart"></div>
</section>
<section id="languages">
<h2>Primary metric by query language</h2><div id="language-table"></div>
</section>
<section id="strata">
<h2 id="strata-title">Primary metric by group</h2><div id="strata-table"></div>
</section>
<section id="pairwise">
<h2>Pairwise preference</h2>
<p class="note" id="pairwise-note"></p>
<div id="pairwise-table"></div>
<div id="pairwise-bars"></div>
<div class="row" style="margin-top:14px">
<label for="pairwise-select">Per query</label><select id="pairwise-select"></select>
</div>
<div id="pairwise-queries"></div>
</section>
<section id="judging">
<h2>Judges</h2>
<div class="split">
<div><h3>Label distribution</h3><div id="label-chart"></div></div>
<div id="judging-info"></div>
</div>
<div id="gold-info"></div>
</section>
<section id="cost">
<h2>Cost and usage</h2><div id="cost-table"></div><p class="note" id="cost-note"></p>
</section>
<section id="queries">
<h2>Queries</h2>
<div class="row"><input type="search" id="query-filter" placeholder="Filter queries"></div>
<div id="query-table"></div>
<div id="query-detail"></div>
</section>
</main>
<footer>Produced by llm-search-eval 0.4.0.</footer>
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var DATA = JSON.parse(document.getElementById("report-data").textContent);
var SVG = "http://www.w3.org/2000/svg";
var cfg = DATA.config;
var primary = cfg.primary_metric;
var systems = DATA.systems;
var names = systems.map(function (s) { return s.name; });
var details = DATA.details || null;
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container.appendChild(chart);
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function renderOverview() {
var ds = DATA.dataset, labels = DATA.labels, cost = DATA.cost || {};
var cards = [
["Queries", ds.queries], ["Products", ds.products], ["Gold labels", ds.gold_labels],
["Judged", labels.judged], ["From cache", labels.cached], ["Unlabeled", labels.unlabeled],
["Tokens", cost.total_tokens === undefined ? "n/a" : cost.total_tokens.toLocaleString()],
["Cost", cost.requests ? money(cost.cost_usd) : "$0"]
];
if (ds.sampling) cards.splice(1, 0, ["Sampled from", ds.sampling.population]);
var box = $("overview-cards");
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$("meta").textContent = "Judge: " + (labels.judge || "none") + " \u00b7 depth " + cfg.depth +
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(ds.sampling ? " \u00b7 sample of " + ds.sampling.sampled + "/" + ds.sampling.population + " queries (seed " + ds.sampling.seed + (ds.sampling.stratify_by ? ", by " + ds.sampling.stratify_by : "") + ")" : "") +
" \u00b7 generated " + DATA.generated_at + " by llm-search-eval " + DATA.tool.version;
}
function renderSummary() {
var metrics = cfg.metrics;
var best = {};
metrics.forEach(function (m) {
var vals = systems.map(function (s) { return s.metrics[m].mean; }).filter(function (v) { return v !== null; });
best[m] = vals.length ? Math.max.apply(null, vals) : null;
});
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return el("tr", null, [td(s.name)].concat(metrics.map(function (m) {
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if (hasCI(s.metrics[m])) cell.appendChild(el("span", { class: "ci-text", text: ciText(s.metrics[m], 3) }));
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})));
});
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if (ciLabel) $("summary-note").textContent = "Brackets show the " + ciLabel + " from " + cfg.bootstrap + " bootstrap resamples over queries; whiskers in the chart show the same interval.";
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metrics.forEach(function (m) { select.appendChild(option(m, m, m === primary)); });
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var m = select.value;
barChart($("metric-chart"), systems.map(function (s) {
var x = s.metrics[m];
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}
select.addEventListener("change", draw);
draw();
}
function renderComparison() {
var comp = DATA.comparison;
var section = $("comparison");
if (systems.length < 2) { section.hidden = true; return; }
var rows = comp.significance.map(function (t) {
var d = comp.deltas.filter(function (x) { return x.system === t.system && x.metric === t.metric; })[0] || {};
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var cells = [td(t.system), td(signed(d.delta), cls), td(pct(d.relative), cls)];
if (ciLabel) cells.push(td(hasCI(d) ? "[" + signed(d.ci_low) + ", " + signed(d.ci_high) + "]" : "n/a", "num"));
cells.push(td(t.wins + " / " + t.ties + " / " + t.losses, "num"),
td(t.p_value === null ? "n/a" : t.p_value.toFixed(4) + (t.p_value < 0.05 ? " *" : ""), "num"));
return el("tr", null, cells);
});
var heads = ["System", "\u0394 " + comp.primary_metric, "Relative"];
if (ciLabel) heads.push("\u0394 " + ciLabel);
$("comparison-table").appendChild(table(heads.concat(["Win / tie / loss", "p-value"]), rows));
var select = $("compare-select");
names.filter(function (n) { return n !== comp.baseline; }).forEach(function (n, i) { select.appendChild(option(n, n, i === 0)); });
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var b = systems.filter(function (s) { return s.name === comp.baseline; })[0];
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});
items.sort(function (p, q) { return q.value - p.value; });
$("delta-note").textContent = items.length ? "Per-query " + primary + " change of " + select.value + " versus " + comp.baseline + ", queries with no change omitted." : "No query changed between " + select.value + " and " + comp.baseline + ".";
barChart($("delta-chart"), items, { labelWidth: 220, label: "per-query delta" });
}
select.addEventListener("change", draw);
draw();
}
function groupTable(by, sectionId, tableId) {
var groups = {};
Object.keys(by || {}).forEach(function (s) { Object.keys(by[s]).forEach(function (g) { groups[g] = true; }); });
groups = Object.keys(groups).sort();
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var rows = Object.keys(by).map(function (s) {
return el("tr", null, [td(s)].concat(groups.map(function (g) {
var x = by[s][g];
return td(x ? fmt(x.mean) + " (n=" + x.n + ")" : "n/a", "num");
})));
});
$(tableId).appendChild(table(["System"].concat(groups), rows));
}
function renderLanguages() {
groupTable(DATA.by_language, "languages", "language-table");
var st = DATA.by_stratum;
if (!st) { $("strata").hidden = true; return; }
$("strata-title").textContent = "Primary metric by " + st.field;
groupTable(st.systems, "strata", "strata-table");
}
function renderPairwise() {
var pw = DATA.pairwise;
var section = $("pairwise");
if (!pw || !pw.comparisons || !pw.comparisons.length) { section.hidden = true; return; }
$("pairwise-note").textContent = "Judge " + pw.judge + " saw the top " + pw.k + " results of both systems for each query" +
(pw.swap ? ", once in each order; a win needs both orders to agree, otherwise it counts as a tie." : ", in one order.") +
" Win rate counts decided queries only, with a Wilson interval; p-values come from an exact sign test." +
(provenance(pw) ? " " + provenance(pw) : "");
var rows = pw.comparisons.map(function (c) {
var rate = c.win_rate_b === null ? "n/a" : (c.win_rate_b * 100).toFixed(1) + "%";
if (c.win_rate_ci) rate += " [" + (c.win_rate_ci.low * 100).toFixed(1) + ", " + (c.win_rate_ci.high * 100).toFixed(1) + "]";
var cls = c.win_rate_b === null ? "num" : c.win_rate_b > 0.5 ? "num pos" : c.win_rate_b < 0.5 ? "num neg" : "num";
return el("tr", null, [td(c.system_b + " vs " + c.system_a), td(String(c.wins_b), "num"), td(String(c.ties), "num"),
td(String(c.wins_a), "num"), td(rate, cls),
td(c.p_value === null ? "n/a" : c.p_value.toFixed(4) + (c.p_value < 0.05 ? " *" : ""), "num"),
td(String(c.inconsistent), "num")]);
});
$("pairwise-table").appendChild(table(["B vs A", "B wins", "Ties", "A wins", "B win rate", "p-value", "Inconsistent"], rows));
var bars = $("pairwise-bars");
pw.comparisons.forEach(function (c) {
var total = c.wins_a + c.wins_b + c.ties || 1;
var parts = [["b", c.wins_b, c.system_b + " wins"], ["tie", c.ties, "ties"], ["a", c.wins_a, c.system_a + " wins"]];
var bar = el("div", { class: "stack", role: "img", "aria-label": c.system_b + " vs " + c.system_a });
parts.forEach(function (p) {
if (!p[1]) return;
var seg = el("span", { class: "seg seg-" + p[0], title: p[2] + ": " + p[1], text: String(p[1]) });
seg.style.width = (100 * p[1] / total) + "%";
bar.appendChild(seg);
});
bars.appendChild(el("div", { class: "stack-row" }, [el("div", { class: "stack-label", text: c.system_b + " vs " + c.system_a }), bar]));
});
var select = $("pairwise-select");
pw.comparisons.forEach(function (c, i) { select.appendChild(option(String(i), c.system_b + " vs " + c.system_a, i === 0)); });
function draw() {
var c = pw.comparisons[Number(select.value)];
var box = $("pairwise-queries");
box.textContent = "";
var qrows = Object.keys(c.per_query).map(function (q) {
var r = c.per_query[q];
var who = r.winner === "a" ? c.system_a : r.winner === "b" ? c.system_b : "tie";
var text = details && details.queries[q] ? details.queries[q].text : "";
var tr = el("tr", null, [td(q), td(text), td(who, r.winner === "b" ? "pos" : r.winner === "a" ? "neg" : "muted"),
td((r.orders || []).join(" / ")), td(r.reason || "", "src")]);
if (details && details.queries[q]) {
tr.addEventListener("click", function () { if (window.__showQuery) window.__showQuery(q); });
}
return tr;
});
var t = table(["Id", "Query", "Winner", "Verdicts", "Reason"], qrows, false);
t.classList.add("clickable");
box.appendChild(t);
}
select.addEventListener("change", draw);
draw();
}
function orNa(v) { return v === null || v === undefined ? "n/a" : String(v); }
function provenance(info) {
if (!(info.model || info.prompt_version || info.prompt_hash)) return "";
var parts = [];
if (info.model) parts.push("model " + info.model);
if (info.provider) parts.push("provider " + info.provider);
if (info.prompt_version || info.prompt_hash) parts.push("prompt " + orNa(info.prompt_version) + " (sha256 " + orNa(info.prompt_hash) + ")");
if (!parts.length) return "";
var text = parts.join(", ");
return text.charAt(0).toUpperCase() + text.slice(1) + ".";
}
function renderJudging() {
var j = DATA.judging;
if (!j) { $("judging").hidden = true; return; }
var dist = j.label_distribution;
barChart($("label-chart"), ["3", "2", "1", "0"].map(function (g) { return { label: "grade " + g, value: dist[g] || 0 }; }), { label: "label distribution" });
var info = $("judging-info");
info.appendChild(el("p", { text: "Judge: " + j.judge + ". " + j.pairs + " judged pair(s)." }));
var prov = provenance(j);
if (prov) info.appendChild(el("p", { class: "note", text: prov }));
if (j.panel && j.panel.judges) {
info.appendChild(table(["Member", "Provider", "Model", "Prompt version", "Prompt hash"], j.panel.judges.map(function (m) {
return el("tr", null, [td(m.judge), td(orNa(m.provider)), td(orNa(m.model)), td(orNa(m.prompt_version)), td(orNa(m.prompt_hash))]);
})));
}
if (j.agreement) {
var a = j.agreement;
var k = a.krippendorff_alpha;
info.appendChild(table(["Statistic", "Value"], [
el("tr", null, [td("Fleiss' kappa"), td(fmt(a.fleiss_kappa, 3), "num")]),
el("tr", null, [td("Krippendorff's alpha (ordinal)"), td(fmt(k.ordinal, 3), "num")]),
el("tr", null, [td("Krippendorff's alpha (nominal)"), td(fmt(k.nominal, 3), "num")]),
el("tr", null, [td("Unanimous items"), td(a.unanimous === null ? "n/a" : (a.unanimous * 100).toFixed(1) + "%", "num")])
]));
info.appendChild(el("h3", { text: "Pairwise agreement" }));
info.appendChild(table(["Judges", "n", "Agreement", "Cohen's kappa", "Weighted kappa"], a.pairwise.map(function (p) {
return el("tr", null, [td(p.a + " / " + p.b), td(String(p.n), "num"), td(p.percent_agreement === null ? "n/a" : (p.percent_agreement * 100).toFixed(1) + "%", "num"), td(fmt(p.cohen_kappa, 3), "num"), td(fmt(p.weighted_kappa, 3), "num")]);
})));
}
var g = j.gold_agreement;
if (g) {
var box = $("gold-info");
box.appendChild(el("h3", { text: "Agreement with gold labels" }));
var raters = [[j.judge, g.judge]].concat(Object.keys(g.members).map(function (n) { return [n, g.members[n]]; }));
box.appendChild(table(["Rater", "n", "Exact", "Within one", "Binary", "Weighted kappa", "Bias"], raters.map(function (r) {
var s = r[1];
return el("tr", null, [td(r[0]), td(String(s.n), "num"), td((s.exact * 100).toFixed(1) + "%", "num"), td((s.within_one * 100).toFixed(1) + "%", "num"), td((s.binary_agreement * 100).toFixed(1) + "%", "num"), td(fmt(s.weighted_kappa, 3), "num"), td(signed(s.mean_bias), "num")]);
})));
var m = g.judge.confusion;
box.appendChild(el("p", { class: "note", text: "Confusion matrix: rows are gold grades, columns are judge grades." }));
box.appendChild(table(["gold \\ judge"].concat(m.categories.map(String)), m.matrix.map(function (row, i) {
return el("tr", null, [td(String(m.categories[i]))].concat(row.map(function (c) { return td(String(c), "num"); })));
})));
}
}
function renderCost() {
var c = DATA.cost;
if (!c || (!c.requests && !c.cache_hits && !c.budget.skipped_pairs)) { $("cost").hidden = true; return; }
var rows = Object.keys(c.models).map(function (name) {
var m = c.models[name];
return el("tr", null, [td(name), td(String(m.requests), "num"), td(m.prompt_tokens.toLocaleString(), "num"), td(m.completion_tokens.toLocaleString(), "num"), td(money(m.cost_usd), "num")]);
});
rows.push(el("tr", null, [td("Total"), td(String(c.requests), "num"), td(c.prompt_tokens.toLocaleString(), "num"), td(c.completion_tokens.toLocaleString(), "num"), td(money(c.cost_usd), "num best")]));
$("cost-table").appendChild(table(["Model", "Requests", "Input tokens", "Output tokens", "Cost"], rows));
var notes = [c.cache_hits + " judgment(s) served from cache at no cost."];
if (c.unpriced_models.length) notes.push("No price configured for: " + c.unpriced_models.join(", ") + ".");
if (c.budget.exhausted) notes.push("Budget reached (" + c.budget.reason + "); " + c.budget.skipped_pairs + " pair(s) were not judged.");
$("cost-note").textContent = notes.join(" ");
}
function renderQueries() {
if (!details) { $("queries").hidden = true; return; }
var qids = Object.keys(details.queries);
var body = el("tbody");
var rows = {};
qids.forEach(function (q) {
var info = details.queries[q];
var cells = [td(q), el("td", { dir: "auto", text: info.text }), td(info.lang)];
systems.forEach(function (s) { cells.push(td(fmt(s.per_query[q][primary], 3), "num")); });
var tr = el("tr", { "data-q": q }, cells);
tr.addEventListener("click", function () { showQuery(q); });
rows[q] = tr;
body.appendChild(tr);
});
var head = el("tr", null, [th("Id"), th("Query"), th("Lang")].concat(names.map(function (n) { return th(n + " " + primary, "num"); })));
$("query-table").appendChild(el("table", { class: "clickable" }, [el("thead", null, [head]), body]));
$("query-filter").addEventListener("input", function (e) {
var needle = e.target.value.toLowerCase();
qids.forEach(function (q) {
var hay = (q + " " + details.queries[q].text).toLowerCase();
rows[q].hidden = needle && hay.indexOf(needle) < 0;
});
});
function showQuery(q) {
Object.keys(rows).forEach(function (k) { rows[k].className = k === q ? "selected" : ""; });
var box = $("query-detail");
box.textContent = "";
var info = details.queries[q];
box.appendChild(el("h3", { dir: "auto", text: q + ": " + info.text }));
var labels = details.labels[q] || {};
var lists = el("div", { class: "lists" });
systems.forEach(function (s) {
var ranked = details.rankings[s.name][q] || [];
var ol = el("ol");
ranked.forEach(function (pid) {
var l = labels[pid];
var p = details.products[pid];
var grade = l ? l.grade : null;
var badge = el("span", { class: "badge " + (grade === null ? "gx" : "g" + grade), text: grade === null ? "?" : String(grade) });
var title = el("span", { dir: "auto", text: p ? p.title : pid + " (not in catalog)" });
var src = el("span", { class: "src", text: " " + pid + (l ? " \u00b7 " + l.source : " \u00b7 unlabeled") });
var parts = [badge, title, src];
if (l && l.reason) parts.push(el("span", { class: "reason", dir: "auto", text: l.reason }));
if (l && l.votes) parts.push(el("span", { class: "reason", text: "votes: " + Object.keys(l.votes).map(function (k) { return k + "=" + (l.votes[k] === null ? "x" : l.votes[k]); }).join(", ") }));
ol.appendChild(el("li", null, parts));
});
if (!ranked.length) ol.appendChild(el("li", { class: "muted", text: "no results" }));
var metrics = cfg.metrics.map(function (m) { return m + " " + fmt(s.per_query[q][m], 3); }).join(" \u00b7 ");
lists.appendChild(el("div", { class: "list" }, [el("h3", { text: s.name }), el("p", { class: "note", text: metrics }), ol]));
});
box.appendChild(lists);
var missing = Object.keys(labels).filter(function (pid) {
return labels[pid].grade >= cfg.threshold && !systems.some(function (s) { return (details.rankings[s.name][q] || []).indexOf(pid) >= 0; });
});
if (missing.length) box.appendChild(el("p", { class: "note", text: "Relevant products no system returned in the top " + cfg.depth + ": " + missing.join(", ") }));
box.scrollIntoView({ behavior: "smooth", block: "nearest" });
}
window.__showQuery = showQuery;
if (qids.length) showQuery(qids[0]);
}
renderOverview();
renderSummary();
renderComparison();
renderLanguages();
renderPairwise();
renderJudging();
renderCost();
renderQueries();
})();
</script>
</body>
</html>