diff --git a/pyproject.toml b/pyproject.toml
index 23a98558..ee62fcb5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -225,6 +225,13 @@ module = [
 ]
 ignore_missing_imports = true
 
+[[tool.mypy.overrides]]
+# https://github.com/apache/arrow/issues/50123
+module = [
+    "pyarrow.*",
+]
+follow_imports = "skip"
+
 [tool.ruff]
 line-length = 79
 extend-exclude = [
diff --git a/src/neo4j/_optional_deps.py b/src/neo4j/_optional_deps.py
index a8bb4f6a..70f6246a 100644
--- a/src/neo4j/_optional_deps.py
+++ b/src/neo4j/_optional_deps.py
@@ -32,13 +32,16 @@
     import pandas as pd  # type: ignore[no-redef]
 
 pa: t.Any = None
+pa_compute: t.Any = None
 
 with suppress(ImportError):
     import pyarrow as pa  # type: ignore[no-redef]
+    import pyarrow.compute as pa_compute  # type: ignore[no-redef]
 
 
 __all__ = [
     "np",
     "pa",
+    "pa_compute",
     "pd",
 ]
diff --git a/src/neo4j/vector.py b/src/neo4j/vector.py
index ca11568c..b3b09066 100644
--- a/src/neo4j/vector.py
+++ b/src/neo4j/vector.py
@@ -32,10 +32,12 @@
     # This beautiful construct helps sphinx to properly resolve the type hints.
     import numpy as _np
     import pyarrow as _pa
+    import pyarrow.compute as _pa_compute
 else:
     from ._optional_deps import (
         np as _np,
         pa as _pa,
+        pa_compute as _pa_compute,
     )
 
 
@@ -795,7 +797,7 @@ def to_numpy(self) -> _np.ndarray: ...
     def from_pyarrow(cls, data: _pa.Array, /) -> _t.Self:
         width = data.type.byte_width
         assert cls.size == width
-        if _pa.compute.count(data, mode="only_null").as_py():
+        if _pa_compute.count(data, mode="only_null").as_py():
             raise ValueError("PyArrow array must not contain any null values.")
         _, buffer = data.buffers()
         buffer = buffer[
diff --git a/tests/unit/common/vector/test_vector.py b/tests/unit/common/vector/test_vector.py
index 05aacaca..219b60e9 100644
--- a/tests/unit/common/vector/test_vector.py
+++ b/tests/unit/common/vector/test_vector.py
@@ -28,6 +28,7 @@
 from neo4j._optional_deps import (
     np,
     pa,
+    pa_compute,
 )
 from neo4j.vector import (
     _swap_endian,
@@ -1044,7 +1045,7 @@ def test_to_pyarrow_random(
         v = _vector_from_data(data_be, dtype, endian)
         array = v.to_pyarrow()
         assert array.type == pa_type
-        assert pa.compute.count(array, mode="only_null").as_py() == 0
+        assert pa_compute.count(array, mode="only_null").as_py() == 0
         buffers = array.buffers()
         assert len(buffers) == 2
         assert buffers[0] is None
@@ -1076,7 +1077,7 @@ def test_to_pyarrow_special_values(
     v = _vector_from_data(data_be, dtype, endian)
     array = v.to_pyarrow()
     assert array.type == pa_type
-    assert pa.compute.count(array, mode="only_null").as_py() == 0
+    assert pa_compute.count(array, mode="only_null").as_py() == 0
     buffers = array.buffers()
     assert len(buffers) == 2
     assert buffers[0] is None