Update agent.py

agent.py

@@ -11,6 +11,7 @@ from langchain_community.document_loaders import ArxivLoader
 from langchain_community.vectorstores import SupabaseVectorStore
 from langchain_core.messages import SystemMessage, HumanMessage
 from langchain_community.retrievers import WikipediaRetriever
+from langchain.tools.retriever import create_retriever_tool
 from langchain_core.tools import tool
 from supabase.client import Client, create_client
 
@@ -75,6 +76,11 @@ vector_store = SupabaseVectorStore(
     table_name="documents",
     query_name="match_documents_langchain",
 )
+create_retriever_tool = create_retriever_tool(
+    retriever=vector_store.as_retriever(),
+    name="Question Search",
+    description="A tool to retrieve similar questions from a vector store.",
+)
 
 tools = [
     wiki_search,