feat: upgrade to lance v0.25.0-beta.5 (#2248)

- adds `loss` into the index stats for vector index
- now `optimize` can retrain the vector index

---------

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

nodejs/__test__/table.test.ts

@@ -470,6 +470,8 @@ describe("When creating an index", () => {
       indexType: "IvfPq",
       columns: ["vec"],
     });
+    const stats = await tbl.indexStats("vec_idx");
+    expect(stats?.loss).toBeDefined();
 
     // Search without specifying the column
     let rst = await tbl
@@ -730,6 +732,7 @@ describe("When creating an index", () => {
     expect(stats?.distanceType).toBeUndefined();
     expect(stats?.indexType).toEqual("BTREE");
     expect(stats?.numIndices).toEqual(1);
+    expect(stats?.loss).toBeUndefined();
   });
 
   test("when getting stats on non-existent index", async () => {

nodejs/src/table.rs

@@ -498,6 +498,9 @@ pub struct IndexStatistics {
     pub distance_type: Option<String>,
     /// The number of parts this index is split into.
     pub num_indices: Option<u32>,
+    /// The KMeans loss value of the index,
+    /// it is only present for vector indices.
+    pub loss: Option<f64>,
 }
 impl From<lancedb::index::IndexStatistics> for IndexStatistics {
     fn from(value: lancedb::index::IndexStatistics) -> Self {
@@ -507,6 +510,7 @@ impl From<lancedb::index::IndexStatistics> for IndexStatistics {
             index_type: value.index_type.to_string(),
             distance_type: value.distance_type.map(|d| d.to_string()),
             num_indices: value.num_indices,
+            loss: value.loss,
         }
     }
 }