fix qdrant

qa.py

@@ -11,6 +11,7 @@ from langchain.chat_models import ChatOpenAI
 
 from langchain.docstore.document import Document
 from langchain.memory import ChatMessageHistory, ConversationBufferMemory
+from langchain_community.vectorstores import Qdrant
 
 import chainlit as cl
 
@@ -48,8 +49,8 @@ async def on_chat_start():
 
     # Create a Chroma vector store
     embeddings = OpenAIEmbeddings()
-    docsearch = await cl.make_async(Chroma.from_texts)(
-        texts, embeddings, metadatas=metadatas
+    docsearch = await cl.make_async(Qdrant.from_texts)(
+        texts, embeddings, metadatas=metadatas, location=":memory:"
     )
 
     message_history = ChatMessageHistory()