Update app.py

app.py

@@ -95,18 +95,6 @@ def init_vector_search() -> MongoDBAtlasVectorSearch:
         st.error("❌ Failed to connect to MongoDB Atlas Vector Search")
         st.error(f"Error: {e}")
         raise e
-✅ Optional: Clean Up init_embedding_model() Too
-Just to be safe, you can explicitly name the model inside init_embedding_model():
-
-python
-Copy
-Edit
-@st.cache_resource
-def init_embedding_model():
-    model_name = "sentence-transformers/all-mpnet-base-v2"
-    st.write(f"📦 Loading local embedding model: `{model_name}`")
-    return HuggingFaceEmbeddings(model_name=model_name)
-
 # =================== Format Retrieved Chunks ===================
 def format_docs(docs: List[Document]) -> str:
     return "\n\n".join(doc.page_content or doc.metadata.get("content", "") for doc in docs)