node:sqlite sample

examples/simple-node2/demo.mjs

@@ -0,0 +1,56 @@
+/**
+ * This demo Node.js script shows how you can use sqlite-vec with
+ * the new builtin node:sqlite module.
+ * Note that this requires Node v23.5.0 or above.
+ */
+import { DatabaseSync } from "node:sqlite";
+import * as sqliteVec from "sqlite-vec";
+
+// allExtension is required to enable extension support
+const db = new DatabaseSync(":memory:", { allowExtension: true });
+sqliteVec.load(db);
+
+const { sqlite_version, vec_version } = db
+  .prepare(
+    "select sqlite_version() as sqlite_version, vec_version() as vec_version;",
+  )
+  .get();
+
+console.log(`sqlite_version=${sqlite_version}, vec_version=${vec_version}`);
+
+const items = [
+  [1, [0.1, 0.1, 0.1, 0.1]],
+  [2, [0.2, 0.2, 0.2, 0.2]],
+  [3, [0.3, 0.3, 0.3, 0.3]],
+  [4, [0.4, 0.4, 0.4, 0.4]],
+  [5, [0.5, 0.5, 0.5, 0.5]],
+];
+const query = [0.3, 0.3, 0.3, 0.3];
+
+db.exec("CREATE VIRTUAL TABLE vec_items USING vec0(embedding float[4])");
+
+const insertStmt = db.prepare(
+  "INSERT INTO vec_items(rowid, embedding) VALUES (?, ?)",
+);
+
+// TODO node:sqlite doesn't have `.transaction()` support yet
+for (const [id, vector] of items) {
+  // node:sqlite requires Uint8Array for BLOB values, so a bit awkward
+  insertStmt.run(BigInt(id), new Uint8Array(new Float32Array(vector).buffer));
+}
+
+const rows = db
+  .prepare(
+    `
+  SELECT
+    rowid,
+    distance
+  FROM vec_items
+  WHERE embedding MATCH ?
+  ORDER BY distance
+  LIMIT 3
+`,
+  )
+  .all(new Uint8Array(new Float32Array(query).buffer));
+
+console.log(rows);