dierk
66f7db40b0
Three FastAPI backends comparing PostgreSQL/pgvector and Oracle 26ai for semantic image search using CLIP embeddings: Python-side embedding for both databases, plus Oracle in-database embedding via VECTOR_EMBEDDING(CLIP_TXT). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
180 lines
4.8 KiB
HTML
180 lines
4.8 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Vector Image Search — Oracle In-DB</title>
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<style>
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* { box-sizing: border-box; margin: 0; padding: 0; }
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body { font-family: system-ui, sans-serif; background: #f5f5f5; color: #222; }
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header {
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background: #7b5ea7;
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color: white;
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padding: 1.2rem 2rem;
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display: flex;
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align-items: center;
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gap: 1rem;
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}
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header h1 { font-size: 1.4rem; font-weight: 600; }
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.badge {
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background: white;
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color: #7b5ea7;
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font-size: 0.75rem;
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font-weight: 700;
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padding: 0.2rem 0.6rem;
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border-radius: 999px;
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}
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.search-area {
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max-width: 700px;
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margin: 2rem auto 1rem;
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padding: 0 1rem;
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}
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.search-row {
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display: flex;
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gap: 0.5rem;
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}
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input[type="text"] {
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flex: 1;
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padding: 0.7rem 1rem;
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font-size: 1rem;
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border: 1px solid #ccc;
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border-radius: 6px;
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}
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button.search-btn {
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padding: 0.7rem 1.4rem;
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background: #7b5ea7;
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color: white;
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border: none;
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border-radius: 6px;
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font-size: 1rem;
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cursor: pointer;
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}
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button.search-btn:hover { background: #664e8d; }
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.chips {
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display: flex;
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flex-wrap: wrap;
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gap: 0.4rem;
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margin-top: 0.8rem;
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}
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.chip {
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padding: 0.3rem 0.8rem;
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background: white;
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border: 1px solid #ccc;
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border-radius: 999px;
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font-size: 0.85rem;
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cursor: pointer;
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}
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.chip:hover { background: #f3f0f8; border-color: #7b5ea7; }
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.stats { text-align: center; color: #666; font-size: 0.85rem; margin-bottom: 1rem; }
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.grid {
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display: grid;
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grid-template-columns: repeat(auto-fill, minmax(180px, 1fr));
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gap: 1rem;
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max-width: 1200px;
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margin: 0 auto;
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padding: 0 1rem 2rem;
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}
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.card {
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background: white;
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border-radius: 8px;
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overflow: hidden;
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box-shadow: 0 1px 4px rgba(0,0,0,0.1);
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}
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.card img {
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width: 100%;
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height: 140px;
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object-fit: cover;
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display: block;
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}
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.card-info {
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padding: 0.5rem 0.7rem;
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font-size: 0.8rem;
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}
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.card-info .score {
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font-weight: 700;
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color: #7b5ea7;
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}
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.card-info .name {
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color: #555;
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white-space: nowrap;
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overflow: hidden;
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text-overflow: ellipsis;
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}
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.empty { text-align: center; color: #999; margin-top: 3rem; font-size: 1rem; }
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</style>
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</head>
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<body>
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<header>
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<h1>Vector Image Search</h1>
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<span class="badge">Oracle In-DB</span>
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</header>
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<div class="search-area">
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<div class="search-row">
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<input id="query" type="text" placeholder="Search photos, e.g. trees, water, night…" />
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<button class="search-btn" onclick="doSearch()">Search</button>
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</div>
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<div class="chips">
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<span class="chip" onclick="setQuery('trees')">trees</span>
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<span class="chip" onclick="setQuery('water')">water</span>
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<span class="chip" onclick="setQuery('people')">people</span>
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<span class="chip" onclick="setQuery('buildings')">buildings</span>
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<span class="chip" onclick="setQuery('sky')">sky</span>
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<span class="chip" onclick="setQuery('street')">street</span>
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<span class="chip" onclick="setQuery('night')">night</span>
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<span class="chip" onclick="setQuery('cars')">cars</span>
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</div>
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</div>
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<p class="stats" id="stats"></p>
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<div class="grid" id="grid"><p class="empty">Enter a search term above.</p></div>
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<script>
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const API = "http://localhost:8002";
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fetch(`${API}/stats`)
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.then(r => r.json())
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.then(d => document.getElementById("stats").textContent = `${d.count} photos indexed`);
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document.getElementById("query").addEventListener("keydown", e => {
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if (e.key === "Enter") doSearch();
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});
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function setQuery(text) {
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document.getElementById("query").value = text;
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doSearch();
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}
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function doSearch() {
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const q = document.getElementById("query").value.trim();
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if (!q) return;
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fetch(`${API}/search?q=${encodeURIComponent(q)}&limit=12`)
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.then(r => r.json())
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.then(renderResults);
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}
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function renderResults(results) {
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const grid = document.getElementById("grid");
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if (!results.length) {
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grid.innerHTML = '<p class="empty">No results found.</p>';
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return;
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}
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grid.innerHTML = results.map(r => `
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<div class="card">
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<img src="${API}/photos/${encodeURIComponent(r.filename)}" alt="${r.filename}" loading="lazy" />
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<div class="card-info">
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<div class="score">${(r.score * 100).toFixed(1)}% match</div>
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<div class="name">${r.filename}</div>
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</div>
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</div>
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`).join("");
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}
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</script>
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</body>
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</html>
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