feat: support binary vector and IVF_FLAT in TypeScript (#2221)

resolve #2218

---------

Signed-off-by: BubbleCal <bubble-cal@outlook.com>

nodejs/__test__/table.test.ts

@@ -21,6 +21,7 @@ import {
   Int64,
   List,
   Schema,
+  Uint8,
   Utf8,
   makeArrowTable,
 } from "../lancedb/arrow";
@@ -740,6 +741,38 @@ describe("When creating an index", () => {
     expect(stats).toBeUndefined();
   });
 
+  test("create ivf_flat with binary vectors", async () => {
+    const db = await connect(tmpDir.name);
+    const binarySchema = new Schema([
+      new Field("id", new Int32(), true),
+      new Field("vec", new FixedSizeList(32, new Field("item", new Uint8()))),
+    ]);
+    const tbl = await db.createTable(
+      "binary",
+      makeArrowTable(
+        Array(300)
+          .fill(1)
+          .map((_, i) => ({
+            id: i,
+            vec: Array(32)
+              .fill(1)
+              .map(() => Math.floor(Math.random() * 255)),
+          })),
+        { schema: binarySchema },
+      ),
+    );
+    await tbl.createIndex("vec", {
+      config: Index.ivfFlat({ numPartitions: 10, distanceType: "hamming" }),
+    });
+
+    // query with binary vectors
+    const queryVec = Array(32)
+      .fill(1)
+      .map(() => Math.floor(Math.random() * 255));
+    const rst = await tbl.query().limit(5).nearestTo(queryVec).toArrow();
+    expect(rst.numRows).toBe(5);
+  });
+
   // TODO: Move this test to the query API test (making sure we can reject queries
   // when the dimension is incorrect)
   test("two columns with different dimensions", async () => {