diff --git a/application/Dockerfile b/application/Dockerfile
index d422db45..27213072 100644
--- a/application/Dockerfile
+++ b/application/Dockerfile
@@ -20,7 +20,7 @@ RUN if [ -f /usr/bin/python3.12 ]; then \
 
 # Download and unzip the model
 RUN wget https://d3dg1063dc54p9.cloudfront.net/models/embeddings/mpnet-base-v2.zip && \
-    unzip mpnet-base-v2.zip -d model && \
+    unzip mpnet-base-v2.zip -d models && \
     rm mpnet-base-v2.zip
 
 # Install Rust
@@ -63,7 +63,8 @@ RUN groupadd -r appuser && \
 
 # Copy the virtual environment and model from the builder stage
 COPY --from=builder /venv /venv
-COPY --from=builder /model /app/model
+
+COPY --from=builder /models /app/models
 
 # Copy your application code
 COPY . /app/application
diff --git a/application/vectorstore/base.py b/application/vectorstore/base.py
index 9c76b89f..a6b206c9 100644
--- a/application/vectorstore/base.py
+++ b/application/vectorstore/base.py
@@ -75,9 +75,9 @@ class BaseVectorStore(ABC):
                     openai_api_key=embeddings_key
                 )
         elif embeddings_name == "huggingface_sentence-transformers/all-mpnet-base-v2":
-            if os.path.exists("./model/all-mpnet-base-v2"):
+            if os.path.exists("./models/all-mpnet-base-v2"):
                 embedding_instance = EmbeddingsSingleton.get_instance(
-                    embeddings_name="./model/all-mpnet-base-v2",
+                    embeddings_name = "./models/all-mpnet-base-v2",
                 )
             else:
                 embedding_instance = EmbeddingsSingleton.get_instance(
@@ -86,4 +86,5 @@ class BaseVectorStore(ABC):
         else:
             embedding_instance = EmbeddingsSingleton.get_instance(embeddings_name)
 
-        return embedding_instance
\ No newline at end of file
+        return embedding_instance
+