Update agent.py

agent.py

@@ -127,9 +127,12 @@ supabase: Client = create_client(
     os.environ.get("SUPABASE_SERVICE_KEY"))
 vector_store = SupabaseVectorStore(
     client=supabase,
-    embedding= embeddings,
+    embedding=embeddings,
     table_name="documents",
     query_name="match_documents",
+    # Add these required parameters
+    match_count=5,  # Number of documents to return
+    match_threshold=0.7,  # Similarity threshold (between 0 and 1)
 )
 create_retriever_tool = create_retriever_tool(
     retriever=vector_store.as_retriever(),