Update app.py

app.py

@@ -74,14 +74,14 @@ async def start():
 
     loader = CSVLoader(file_path="./data/knowledge_base.csv", source_column="Answer")
     data = loader.load()
-
+    # FAISS, by default: no built-in metadata filtering —————————>
     for i, doc in enumerate(data):
         doc.metadata["row_index"] = i + 1
         doc.metadata["source"] = doc.metadata.get("Info_Url", "")
 
     text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
     documents = text_splitter.transform_documents(data)
-
+    # FAISS, by default: requires external storage (e.g., LocalFileStore) —————————>
     store = LocalFileStore("./cache/")
 
     core_embeddings_model = OpenAIEmbeddings()