diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py
index 1f05223..487e195 100644
--- a/private_gpt/components/embedding/embedding_component.py
+++ b/private_gpt/components/embedding/embedding_component.py
@@ -31,6 +31,7 @@ class EmbeddingComponent:
                 self.embedding_model = HuggingFaceEmbedding(
                     model_name=settings.huggingface.embedding_hf_model_name,
                     cache_folder=str(models_cache_path),
+                    max_length=settings.huggingface.embedding_hf_max_length,
                 )
             case "sagemaker":
                 try:
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index e2598b8..408b1ec 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -151,6 +151,10 @@ class HuggingFaceSettings(BaseModel):
     embedding_hf_model_name: str = Field(
         description="Name of the HuggingFace model to use for embeddings"
     )
+    embedding_hf_max_length: int = Field(
+        None,
+        description="Some embedding models have a maximum length for input, provide here for not crashing"
+    )
     access_token: str = Field(
         None,
         description="Huggingface access token, required to download some models",
diff --git a/settings.yaml b/settings.yaml
index b524ef6..1765fe4 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -69,6 +69,7 @@ embedding:
 
 huggingface:
   embedding_hf_model_name: BAAI/bge-small-en-v1.5
+  embedding_hf_max_length: 512 # some models have a maximum length for input
   access_token: ${HUGGINGFACE_TOKEN:}
 
 vectorstore: