From 9640f197e128b828e76ce4de935c30a5a3368054 Mon Sep 17 00:00:00 2001
From: "abby.huang" <78209557+abby-cyber@users.noreply.github.com>
Date: Wed, 11 May 2022 17:10:19 +0800
Subject: [PATCH] Update 0-1-graph-database.md (#1362)

---
 docs-2.0/1.introduction/0-1-graph-database.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs-2.0/1.introduction/0-1-graph-database.md b/docs-2.0/1.introduction/0-1-graph-database.md
index ded80a02148..f332bdc6ec3 100644
--- a/docs-2.0/1.introduction/0-1-graph-database.md
+++ b/docs-2.0/1.introduction/0-1-graph-database.md
@@ -4,7 +4,7 @@ Now that we have discussed what a graph is, let's move on to further understandi
 
 Different graph databases may differ slightly in terms of terminology, but in the end, they all talk about vertices, edges, and properties. As for more advanced features such as labels, indexes, constraints, TTL, long tasks, stored procedures, and UDFs, these advanced features will vary significantly from one graph database to another.
 
-Graph databases use graphs to store data, and graphs are one of the closest to highly flexible, high-performance data structures. A graph database is a storage engine specifically designed to store and retrieve large information, which efficiently stores data as vertices and edges and allows high-performance retrieval and querying of these vertex-edge structures. We can also add properties to these vertices and edges.
+Graph databases use graphs to store data, and the graph structure is one of the structures that are closest to high flexibility and high performance. A graph database is a storage engine specifically designed to store and retrieve large information, which efficiently stores data as vertices and edges and allows high-performance retrieval and querying of these vertex-edge structures. We can also add properties to these vertices and edges.
 
 ## Third-party services market predictions