diff --git a/src/paperless_ai/embedding.py b/src/paperless_ai/embedding.py
index 7fb594a97..e03ddae72 100644
--- a/src/paperless_ai/embedding.py
+++ b/src/paperless_ai/embedding.py
@@ -39,6 +39,7 @@ def get_embedding_model() -> "BaseEmbedding":
             return HuggingFaceEmbedding(
                 model_name=config.llm_embedding_model
                 or "sentence-transformers/all-MiniLM-L6-v2",
+                cache_folder=str(settings.DATA_DIR / "hf_cache"),
             )
         case LLMEmbeddingBackend.OLLAMA:
             from llama_index.embeddings.ollama import OllamaEmbedding
diff --git a/src/paperless_ai/tests/test_embedding.py b/src/paperless_ai/tests/test_embedding.py
index 3fb5c39ce..6ee1994b8 100644
--- a/src/paperless_ai/tests/test_embedding.py
+++ b/src/paperless_ai/tests/test_embedding.py
@@ -3,6 +3,7 @@ from unittest.mock import MagicMock
 from unittest.mock import patch
 
 import pytest
+from django.conf import settings
 
 from documents.models import Document
 from paperless.models import LLMEmbeddingBackend
@@ -116,6 +117,7 @@ def test_get_embedding_model_huggingface(mock_ai_config):
         model = get_embedding_model()
         MockHuggingFaceEmbedding.assert_called_once_with(
             model_name="sentence-transformers/all-MiniLM-L6-v2",
+            cache_folder=str(settings.DATA_DIR / "hf_cache"),
         )
         assert model == MockHuggingFaceEmbedding.return_value