test(mongodb): fix

rig-mongodb/tests/integration_tests.rs

@@ -59,6 +59,9 @@ async fn vector_search_test() {
 
     collection.insert_many(embeddings).await.unwrap();
 
+    // Wait for the new documents to be indexed
+    sleep(Duration::from_secs(30)).await;
+
     // Create a vector index on our vector store.
     // Note: a vector index called "vector_index" must exist on the MongoDB collection you are querying.
     // IMPORTANT: Reuse the same model that was used to generate the embeddings
@@ -71,8 +74,6 @@ async fn vector_search_test() {
     .await
     .unwrap();
 
-    sleep(Duration::from_secs(30)).await;
-
     // Query the index
     let results = index
         .top_n::<serde_json::Value>("What is a linglingdong?", 1)