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new b7a5078d Update readme & add wechat code (#218)
b7a5078d is described below
commit b7a5078d1cc2e723a9c339b7aaffa88b3c1baa67
Author: Liu Xiao <[email protected]>
AuthorDate: Mon May 15 13:41:11 2023 +0800
Update readme & add wechat code (#218)
* update readme
* fix address update image
---
README.md | 10 +++++-----
assets/images/weixin.png | Bin 0 -> 44655 bytes
2 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/README.md b/README.md
index 950c9b19..a6d02264 100644
--- a/README.md
+++ b/README.md
@@ -5,14 +5,12 @@ Please visit the [contribution doc](./contribution.md) to get
start, include the
### Summary
HugeGraph is an easy-to-use, efficient, general-purpose open source graph
database system(Graph Database, [GitHub project
address](https://github.com/apache/hugegraph)),
-implemented the [Apache TinkerPop3](https://tinkerpop.apache.org) framework
and is fully compatible with the
[Gremlin](https://tinkerpop.apache.org/gremlin.html) query language,
+implemented the [Apache TinkerPop3](https://tinkerpop.apache.org) framework
and is fully compatible with the
[Gremlin](https://tinkerpop.apache.org/gremlin.html) query language.
With complete toolchain components, it helps users to easily build
applications and products based on graph databases. HugeGraph supports fast
import of more than 10 billion vertices and edges, and provides
millisecond-level relational query capability (OLTP).
It supports large-scale distributed graph processing (OLAP).
Typical application scenarios of HugeGraph include deep relationship
exploration, association analysis, path search, feature extraction, data
clustering, community detection, knowledge graph, etc., and are applicable to
business fields such as network security, telecommunication fraud, financial
risk control, advertising recommendation, social network and intelligence
Robots etc.
-Typical application scenarios of HugeGraph include deep relationship
exploration, association analysis, path search, feature extraction, data
clustering, community detection, knowledge graph, etc., and are applicable to
business fields such as network security, telecommunication fraud, financial
risk control, advertising recommendation, social network and intelligence
Robots etc.
-
### Features
HugeGraph supports graph operations in online and offline environments,
supports batch import of data, supports efficient complex relationship
analysis, and can be seamlessly integrated with big data platforms.
@@ -55,5 +53,7 @@ The functions of this system include but are not limited to:
### Contact Us
- [Github Issues](https://github.com/apache/incubator-hugegraph/issues):
Feedback on usage issues and functional requirements (priority)
-- Feedback Email:
[[email protected]](mailto:[email protected])
-- WeChat public account: HugeGraph
+- Feedback Email: [[email protected]](mailto:[email protected])
+- WeChat public account: Apache HugeGraph, welcome to scan this QR code to
follow us.
+
+<img src="./assets/images/weixin.png">
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