From f2dbc08b0f9a3762babe35e66ecdc124b5259af8 Mon Sep 17 00:00:00 2001
From: Meg528 <71841959+Meg528@users.noreply.github.com>
Date: Thu, 6 Jun 2024 09:46:16 -0700
Subject: [PATCH] Update 3-why-atlas-search.mdx

---
 docs/1-full-text-search/3-why-atlas-search.mdx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/1-full-text-search/3-why-atlas-search.mdx b/docs/1-full-text-search/3-why-atlas-search.mdx
index c2b63af0..aec4c7bc 100644
--- a/docs/1-full-text-search/3-why-atlas-search.mdx
+++ b/docs/1-full-text-search/3-why-atlas-search.mdx
@@ -1,4 +1,4 @@
-# 📘 Why Atlas Search
+# 📘 Why Atlas Search?
 
 Atlas Search is the built-in search solution for MongoDB Atlas. It is a fully managed service that is easy to set up, operate, and scale. Atlas Search is based on Apache Lucene and supports the Apache Lucene Query Parser Syntax. It supports text search, geospatial search, and faceted search.
 
@@ -12,4 +12,4 @@ Furthermore, Atlas Search is fully integrated with MongoDB Atlas, so you can eas
 
 To use Atlas Search, you need to create a search index. A search index is a data structure that contains the data you want to search and the rules for how to search it. You can create a search index using the Atlas UI or the Atlas API.
 
-Once you have an index in place, you can use the MongoDB Query API to query your data. This will be done with the new `$search` operator in your aggregation pipelines.
\ No newline at end of file
+Once you have an index in place, you can use the MongoDB Query API to query your data. This will be done with the new `$search` operator in your aggregation pipelines.