Update vectorstore.py

vectorstore.py

@@ -2,7 +2,13 @@ from langchain_community.vectorstores import FAISS
 from langchain_community.embeddings import HuggingFaceEmbeddings
 
 def create_vectorstore(documents):
+    if not documents:
+        raise ValueError(
+            "No valid source code found to build vector index."
+        )
+
     embeddings = HuggingFaceEmbeddings(
         model_name="sentence-transformers/all-MiniLM-L6-v2"
     )
+
     return FAISS.from_documents(documents, embeddings)