Update agent.py

agent.py

@@ -130,7 +130,7 @@ vector_store = SupabaseVectorStore(
     table_name="documents",
     query_name="match_documents_langchain"
 )
-print("🔍 Retrieved vector documents:", similar)
+
 
 retriever_tool = create_retriever_tool(
     retriever=vector_store.as_retriever(),
@@ -160,6 +160,7 @@ def build_graph(provider: str = "groq"):
 
     def retriever(state: MessagesState):
         similar = vector_store.similarity_search(state["messages"][0].content)
+        print("🔍 Retrieved vector documents:", similar)
         example_msg = HumanMessage(
             content=f"Here’s a similar QA pair for grounding:\n\n{similar[0].page_content}"
         )