diff --git a/fastembed/postprocess/muvera.py b/fastembed/postprocess/muvera.py
index 3c6476795..806cd4adb 100644
--- a/fastembed/postprocess/muvera.py
+++ b/fastembed/postprocess/muvera.py
@@ -228,6 +228,9 @@ def process_document(self, vectors: NumpyArray) -> NumpyArray:
 
         Returns:
             NumpyArray: Fixed dimensional encodings of shape (r_reps * b * dim_proj,)
+
+        Raises:
+            ValueError: If the document multivector is empty
         """
         return self.process(vectors, fill_empty_clusters=True, normalize_by_count=True)
 
@@ -243,6 +246,9 @@ def process_query(self, vectors: NumpyArray) -> NumpyArray:
 
         Returns:
             NumpyArray: Fixed dimensional encoding of shape (r_reps * b * dim_proj,)
+
+        Raises:
+            ValueError: If the query multivector is empty
         """
         return self.process(vectors, fill_empty_clusters=False, normalize_by_count=False)
 
@@ -278,11 +284,15 @@ def process(
 
         Raises:
             AssertionError: If input vectors don't have expected dimensionality
+            ValueError: If the input multivector is empty
         """
         assert (
             vectors.shape[1] == self.dim
         ), f"Expected vectors of shape (n, {self.dim}), got {vectors.shape}"
 
+        if len(vectors) == 0:
+            raise ValueError("Cannot encode an empty multivector")
+
         # Store results from each random projection
         output_vectors = []
 
diff --git a/tests/test_postprocess.py b/tests/test_postprocess.py
index 82576f115..3dc80d411 100644
--- a/tests/test_postprocess.py
+++ b/tests/test_postprocess.py
@@ -1,4 +1,5 @@
 import numpy as np
+import pytest
 
 from fastembed import LateInteractionTextEmbedding
 from fastembed.postprocess import Muvera
@@ -36,3 +37,15 @@ def test_single_input():
         fde_query = muvera.process_query(multivector)
         assert fde_query.shape[0] == muvera.embedding_size
         assert np.allclose(fde_query[np.nonzero(fde_query)][:3], CANONICAL_QUERY_VALUES)
+
+
+def test_empty_multivectors_raise_value_error():
+    muvera = Muvera(dim=4, k_sim=2, dim_proj=2, r_reps=3)
+    empty = np.empty((0, 4))
+
+    with pytest.raises(ValueError, match="Cannot encode an empty multivector"):
+        muvera.process_document(empty)
+
+    with pytest.raises(ValueError, match="Cannot encode an empty multivector"):
+        muvera.process_query(empty)
+