start simple examples

examples/simple-deno/demo.ts

@@ -0,0 +1,48 @@
+import { Database } from "jsr:@db/sqlite@0.11";
+//import { loadablePath } from "npm:sqlite-vec";
+
+const db = new Database(":memory:");
+db.enableLoadExtension = true;
+db.loadExtension("../../dist/vec0");
+db.enableLoadExtension = false;
+
+const [sqlite_version, vec_version] = db
+  .prepare("select sqlite_version(), vec_version()")
+  .value<[string]>()!;
+console.log(`sqlite_version=${sqlite_version}, vec_version=${vec_version}`);
+
+db.exec("CREATE VIRTUAL TABLE vec_items USING vec0(embedding float[8])");
+
+const insertStmt = db.prepare(
+  "INSERT INTO vec_items(rowid, embedding) VALUES (?1, vec_f32(?2))"
+);
+
+const insertVectors = db.transaction((items) => {
+  for (const [id, vector] of items) {
+    insertStmt.run(BigInt(id), new Uint8Array(vector.buffer));
+  }
+});
+
+insertVectors([
+  [1, new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])],
+  [2, new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])],
+]);
+
+const query = new Float32Array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]);
+const rows = db
+  .prepare(
+    `
+  SELECT
+    rowid,
+    distance
+  FROM vec_items
+  WHERE embedding MATCH ?
+  ORDER BY distance
+  LIMIT 5
+`
+  )
+  .all([new Uint8Array(query.buffer)]);
+
+console.log(rows);
+
+db.close();