Update app.py

app.py

@@ -12,6 +12,9 @@ chroma_client = chromadb.PersistentClient(path="./chroma_db")
 embedding_model = SentenceTransformerEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
 # Load the RAG-based Retrieval System
+import os
+print(os.listdir("faiss_index"))
+
 vectorstore = FAISS.load_local("faiss_index", embedding_model)
 retriever = vectorstore.as_retriever()
 qa_chain = RetrievalQA.from_chain_type(llm=OpenAI(), retriever=retriever)