mirror of
https://github.com/asg017/sqlite-vec.git
synced 2026-04-25 08:46:49 +02:00
52 lines
1.5 KiB
HTML
52 lines
1.5 KiB
HTML
<html>
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<body>
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<h1>sqlite-vec demo/simple-wasm</h1>
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<div id="target"></div>
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<script type="module">
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import {default as init} from "./sqlite3.mjs";
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function log(msg) {
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const pre = document.querySelector('#target').appendChild(document.createElement("pre"));
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pre.textContent = msg;
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}
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const sqlite3 = await init();
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const db = new sqlite3.oo1.DB(":memory:");
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window.db = db;
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const [sqlite_version, vec_version] = db.selectArray('select sqlite_version(), vec_version();')
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log(`sqlite_version=${sqlite_version}, vec_version=${vec_version}`);
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const items = [
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[1, new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])],
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[2, new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])]
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];
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db.exec('CREATE VIRTUAL TABLE vec_items USING vec0(embedding float[8]);');
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const stmt = db.prepare("INSERT INTO vec_items(rowid, embedding) VALUES (?, ?)");
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for(const item of items) {
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stmt
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.bind(1, item[0])
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.bind(2, item[1].buffer)
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.stepReset();
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}
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stmt.finalize();
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const query = new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]);
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const rows = db
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.selectArrays(
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`
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SELECT
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rowid,
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distance
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FROM vec_items
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WHERE embedding MATCH ?
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ORDER BY distance
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LIMIT 5
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`, query.buffer
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);
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log(JSON.stringify(rows));
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</script>
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</body>
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</html>
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`
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