update

Signed-off-by: eric-epsilla <eric@epsilla.com>

Author: eric-epsilla

examples/Question_Answering_Pipeline_with_LangChain_and_EpsillaCloud.py

@@ -29,13 +29,9 @@
 from langchain.text_splitter import CharacterTextSplitter
 from langchain_openai import OpenAIEmbeddings
 
-loader = WebBaseLoader(
-    "https://raw.githubusercontent.com/hwchase17/chat-your-data/master/state_of_the_union.txt"
-)
+loader = WebBaseLoader("https://raw.githubusercontent.com/hwchase17/chat-your-data/master/state_of_the_union.txt")
 documents = loader.load()
-documents = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0).split_documents(
-    documents
-)
+documents = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0).split_documents(documents)
 embeddings = OpenAIEmbeddings()