diff --git a/.github/workflows/nodejs.yml b/.github/workflows/nodejs.yml
index 544e85e1..a33bd5a7 100644
--- a/.github/workflows/nodejs.yml
+++ b/.github/workflows/nodejs.yml
@@ -79,7 +79,7 @@ jobs:
       with:
         node-version: ${{ matrix.node-version }}
         cache: 'npm'
-        cache-dependency-path: node/package-lock.json
+        cache-dependency-path: nodejs/package-lock.json
     - uses: Swatinem/rust-cache@v2
     - name: Install dependencies
       run: |
@@ -137,7 +137,7 @@ jobs:
       with:
         node-version: 20
         cache: 'npm'
-        cache-dependency-path: node/package-lock.json
+        cache-dependency-path: nodejs/package-lock.json
     - uses: Swatinem/rust-cache@v2
     - name: Install dependencies
       run: |
diff --git a/nodejs/examples/ann_indexes.test.ts b/nodejs/examples/ann_indexes.test.ts
index a37872c9..138cfb23 100644
--- a/nodejs/examples/ann_indexes.test.ts
+++ b/nodejs/examples/ann_indexes.test.ts
@@ -12,7 +12,7 @@ test("ann index examples", async () => {
     // --8<-- [start:ingest]
     const db = await lancedb.connect(databaseDir);
 
-    const data = Array.from({ length: 5_000 }, (_, i) => ({
+    const data = Array.from({ length: 1_000 }, (_, i) => ({
       vector: Array(128).fill(i),
       id: `${i}`,
       content: "",
@@ -24,8 +24,8 @@ test("ann index examples", async () => {
     });
     await table.createIndex("vector", {
       config: lancedb.Index.ivfPq({
-        numPartitions: 10,
-        numSubVectors: 16,
+        numPartitions: 30,
+        numSubVectors: 8,
       }),
     });
     // --8<-- [end:ingest]
diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py
index ab8aee18..4ac0fd6b 100644
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -910,7 +910,7 @@ class LanceQueryBuilder(ABC):
         ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
           GlobalLimitExec: skip=0, fetch=10
             FilterExec: _distance@2 IS NOT NULL
-              SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
+              SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
                 KNNVectorDistance: metric=l2
                   LanceRead: uri=..., projection=[vector], ...
 
@@ -2041,11 +2041,11 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
         >>> plan = table.search(query).explain_plan(True)
         >>> print(plan) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
         ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
-        GlobalLimitExec: skip=0, fetch=10
-          FilterExec: _distance@2 IS NOT NULL
-            SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
-              KNNVectorDistance: metric=l2
-                LanceRead: uri=..., projection=[vector], ...
+          GlobalLimitExec: skip=0, fetch=10
+            FilterExec: _distance@2 IS NOT NULL
+              SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
+                KNNVectorDistance: metric=l2
+                  LanceRead: uri=..., projection=[vector], ...
 
         Parameters
         ----------
@@ -2429,7 +2429,7 @@ class AsyncQueryBase(object):
         ProjectionExec: expr=[vector@0 as vector, _distance@2 as _distance]
           GlobalLimitExec: skip=0, fetch=10
             FilterExec: _distance@2 IS NOT NULL
-              SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
+              SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
                 KNNVectorDistance: metric=l2
                   LanceRead: uri=..., projection=[vector], ...
 
@@ -3054,7 +3054,7 @@ class AsyncHybridQuery(AsyncQueryBase, AsyncVectorQueryBase):
             CoalesceBatchesExec: target_batch_size=1024
               GlobalLimitExec: skip=0, fetch=10
                 FilterExec: _distance@2 IS NOT NULL
-                  SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
+                  SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
                     KNNVectorDistance: metric=l2
                       LanceRead: uri=..., projection=[vector], ...
         <BLANKLINE>
diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py
index 1e88d794..08dbb242 100644
--- a/python/python/tests/test_table.py
+++ b/python/python/tests/test_table.py
@@ -290,7 +290,7 @@ def test_add_struct(mem_db: DBConnection):
         }
     )
     data = [{"s_list": [{"b": 1, "a": 2}, {"b": 4}]}]
-    table = mem_db.create_table("test", schema=schema)
+    table = mem_db.create_table("test2", schema=schema)
     table.add(data)