diff --git a/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py b/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py
index fcab02e03..45af2ed39 100644
--- a/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py
+++ b/cognee/tests/unit/processing/chunks/chunk_by_sentence_test.py
@@ -1,22 +1,54 @@
 import numpy as np
 import pytest
 
-from cognee.tasks.chunks import chunk_by_sentence
+from cognee.tasks.chunks import chunk_by_sentence, chunk_by_word
 from cognee.tests.unit.processing.chunks.test_input import INPUT_TEXTS
 
 
 @pytest.mark.parametrize(
-    "input_text",
+    "input_text,maximum_length",
     [
-        INPUT_TEXTS["english_text"],
-        INPUT_TEXTS["english_lists"],
-        INPUT_TEXTS["python_code"],
-        INPUT_TEXTS["chinese_text"],
+        (INPUT_TEXTS["english_text"], None),
+        (INPUT_TEXTS["english_text"], 8),
+        (INPUT_TEXTS["english_text"], 64),
+        (INPUT_TEXTS["english_lists"], None),
+        (INPUT_TEXTS["english_lists"], 8),
+        (INPUT_TEXTS["english_lists"], 64),
+        (INPUT_TEXTS["python_code"], None),
+        (INPUT_TEXTS["python_code"], 8),
+        (INPUT_TEXTS["python_code"], 64),
+        (INPUT_TEXTS["chinese_text"], None),
+        (INPUT_TEXTS["chinese_text"], 8),
+        (INPUT_TEXTS["chinese_text"], 64),
     ],
 )
-def test_chunk_by_sentence_isomorphism(input_text):
-    chunks = chunk_by_sentence(input_text)
+def test_chunk_by_sentence_isomorphism(input_text, maximum_length):
+    chunks = chunk_by_sentence(input_text, maximum_length)
     reconstructed_text = "".join([chunk[2] for chunk in chunks])
     assert (
         reconstructed_text == input_text
     ), f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }"
+
+
+@pytest.mark.parametrize(
+    "input_text,maximum_length",
+    [
+        (INPUT_TEXTS["english_text"], 8),
+        (INPUT_TEXTS["english_text"], 64),
+        (INPUT_TEXTS["english_lists"], 8),
+        (INPUT_TEXTS["english_lists"], 64),
+        (INPUT_TEXTS["python_code"], 8),
+        (INPUT_TEXTS["python_code"], 64),
+        (INPUT_TEXTS["chinese_text"], 8),
+        (INPUT_TEXTS["chinese_text"], 64),
+    ],
+)
+def test_paragraph_chunk_length(input_text, maximum_length):
+    chunks = list(chunk_by_sentence(input_text, maximum_length))
+
+    chunk_lengths = np.array([len(list(chunk_by_word(chunk[2]))) for chunk in chunks])
+
+    larger_chunks = chunk_lengths[chunk_lengths > maximum_length]
+    assert np.all(
+        chunk_lengths <= maximum_length
+    ), f"{maximum_length = }: {larger_chunks} are too large"