Update store_embedding.py

store_embedding.py

@@ -15,7 +15,7 @@ print('len of documents are', len(documents))
 # Split documents into chunks
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=5000, chunk_overlap=250)
 all_splits = text_splitter.split_documents(documents)
-print("Length of all_splits:", len(all_splits))
+print("Length_of all_splits:", len(all_splits))
 
 # Generate embeddings
 model_name = "sentence-transformers/all-mpnet-base-v2"