diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py
index 81363a1b..2d337f05 100644
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -1802,10 +1802,22 @@ class AsyncFTSQuery(AsyncQueryBase):
     def __init__(self, inner: LanceFTSQuery):
         super().__init__(inner)
         self._inner = inner
+        self._reranker = None
 
     def get_query(self):
         self._inner.get_query()
 
+    def rerank(
+        self,
+        reranker: Reranker = RRFReranker(),
+    ) -> AsyncFTSQuery:
+        if reranker and not isinstance(reranker, Reranker):
+            raise ValueError("reranker must be an instance of Reranker class.")
+
+        self._reranker = reranker
+
+        return self
+
     def nearest_to(
         self,
         query_vector: Union[VEC, Tuple, List[VEC]],
@@ -1876,6 +1888,12 @@ class AsyncFTSQuery(AsyncQueryBase):
                 self._inner.nearest_to(AsyncQuery._query_vec_to_array(query_vector))
             )
 
+    async def to_arrow(self) -> pa.Table:
+        results = await super().to_arrow()
+        if self._reranker:
+            results = self._reranker.rerank_fts(results)
+        return results
+
 
 class AsyncVectorQuery(AsyncQueryBase):
     def __init__(self, inner: LanceVectorQuery):
@@ -1890,6 +1908,7 @@ class AsyncVectorQuery(AsyncQueryBase):
         """
         super().__init__(inner)
         self._inner = inner
+        self._reranker = None
 
     def column(self, column: str) -> AsyncVectorQuery:
         """
@@ -2035,6 +2054,16 @@ class AsyncVectorQuery(AsyncQueryBase):
         self._inner.bypass_vector_index()
         return self
 
+    def rerank(
+        self, reranker: Reranker = RRFReranker(), query_string: Optional[str] = None
+    ) -> AsyncHybridQuery:
+        if reranker and not isinstance(reranker, Reranker):
+            raise ValueError("reranker must be an instance of Reranker class.")
+
+        self._reranker = reranker
+
+        return self
+
     def nearest_to_text(
         self, query: str, columns: Union[str, List[str]] = []
     ) -> AsyncHybridQuery:
@@ -2068,6 +2097,12 @@ class AsyncVectorQuery(AsyncQueryBase):
             self._inner.nearest_to_text({"query": query, "columns": columns})
         )
 
+    async def to_arrow(self) -> pa.Table:
+        results = await super().to_arrow()
+        if self._reranker:
+            results = self._reranker.rerank_vector(results)
+        return results
+
 
 class AsyncHybridQuery(AsyncQueryBase):
     """
diff --git a/python/python/tests/test_query.py b/python/python/tests/test_query.py
index cc796545..3f651fad 100644
--- a/python/python/tests/test_query.py
+++ b/python/python/tests/test_query.py
@@ -6,14 +6,18 @@ from datetime import timedelta
 from pathlib import Path
 
 import lancedb
-from lancedb.index import IvfPq
+from lancedb.index import IvfPq, FTS
 import numpy as np
 import pandas.testing as tm
 import pyarrow as pa
 import pytest
 import pytest_asyncio
 from lancedb.pydantic import LanceModel, Vector
-from lancedb.query import AsyncQueryBase, LanceVectorQueryBuilder, Query
+from lancedb.query import (
+    AsyncQueryBase,
+    LanceVectorQueryBuilder,
+    Query,
+)
 from lancedb.table import AsyncTable, LanceTable
 
 
@@ -47,6 +51,7 @@ async def table_async(tmp_path) -> AsyncTable:
             "id": pa.array([1, 2]),
             "str_field": pa.array(["a", "b"]),
             "float_field": pa.array([1.0, 2.0]),
+            "text": pa.array(["a", "dog"]),
         }
     )
     return await conn.create_table("test", data)
@@ -314,7 +319,7 @@ async def test_query_async(table_async: AsyncTable):
     await check_query(
         table_async.query(),
         expected_num_rows=2,
-        expected_columns=["vector", "id", "str_field", "float_field"],
+        expected_columns=["vector", "id", "str_field", "float_field", "text"],
     )
     await check_query(table_async.query().where("id = 2"), expected_num_rows=1)
     await check_query(
@@ -383,32 +388,42 @@ async def test_query_async(table_async: AsyncTable):
         expected_columns=["id", "vector", "_rowid"],
     )
 
+    # FTS with rerank
+    await table_async.create_index("text", config=FTS(with_position=False))
+    await check_query(
+        table_async.query().nearest_to_text("dog").rerank(),
+        expected_num_rows=1,
+    )
+
+    # Vector query with rerank
+    await check_query(table_async.vector_search([1, 2]).rerank(), expected_num_rows=2)
+
 
 @pytest.mark.asyncio
 async def test_query_to_arrow_async(table_async: AsyncTable):
     table = await table_async.to_arrow()
     assert table.num_rows == 2
-    assert table.num_columns == 4
+    assert table.num_columns == 5
 
     table = await table_async.query().to_arrow()
     assert table.num_rows == 2
-    assert table.num_columns == 4
+    assert table.num_columns == 5
 
     table = await table_async.query().where("id < 0").to_arrow()
     assert table.num_rows == 0
-    assert table.num_columns == 4
+    assert table.num_columns == 5
 
 
 @pytest.mark.asyncio
 async def test_query_to_pandas_async(table_async: AsyncTable):
     df = await table_async.to_pandas()
-    assert df.shape == (2, 4)
+    assert df.shape == (2, 5)
 
     df = await table_async.query().to_pandas()
-    assert df.shape == (2, 4)
+    assert df.shape == (2, 5)
 
     df = await table_async.query().where("id < 0").to_pandas()
-    assert df.shape == (0, 4)
+    assert df.shape == (0, 5)
 
 
 @pytest.mark.asyncio