diff --git a/assets/chat_agent/__init__.py b/assets/chat_agent/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/assets/chat_agent/chat_agent1.png b/assets/chat_agent/chat_agent1.png
new file mode 100644
index 000000000..af3f1c715
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diff --git a/docs/getting_started/application/chatagent/chatagent.md b/docs/getting_started/application/chatagent/chatagent.md
new file mode 100644
index 000000000..f59d335f0
--- /dev/null
+++ b/docs/getting_started/application/chatagent/chatagent.md
@@ -0,0 +1,23 @@
+ChatAgent
+==================================
+ChatAgent can automatically select the right tool to answer and solve user problems through LLM.
+
+
+### 1.Update Plugins From Git
+
+
+
+
+### 2.Install Plugin
+After successfully setting up the data source, you can start conversing with the database. You can ask it to generate
+SQL for you or inquire about relevant information on the database's metadata.
+
+
+
+### 3.Upload My Local Plugin File
+
+### 4.Select installed plug-ins dialog
+
+
+
+### 5.Uninstall My Plugin
diff --git a/docs/use_cases/tool_use_with_plugin.md b/docs/use_cases/tool_use_with_plugin.md
index 705062c00..93d665c89 100644
--- a/docs/use_cases/tool_use_with_plugin.md
+++ b/docs/use_cases/tool_use_with_plugin.md
@@ -1,13 +1,13 @@
# Tool use with plugin
-- DB-GPT supports a variety of plug-ins, such as MySQL, MongoDB, ClickHouse and other database tool plug-ins. In addition, some database management platforms can also package their interfaces and package them into plug-ins, and use the model to realize the ability of "single-sentence requirements"
+- DB-GPT supports a variety of plug-ins, such as BaiduSearch, SendEmail. In addition, some database management platforms can also package their interfaces and package them into plug-ins, and use the model to realize the ability of "single-sentence requirements"
-## DB-GPT-DASHBOARD-PLUGIN
+## Baidu-Search-Plugin
-[](https://github.com/csunny/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)
+[Db-GPT Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)
-- This is a DB-GPT plugin to generate data analysis charts, if you want to use the test sample data, please first pull the code of [DB-GPT-Plugins](https://github.com/csunny/DB-GPT-Plugins), run the command to generate test DuckDB data, and then copy the generated data file to the `/pilot/mock_datas` directory of the DB-GPT project.
+- Perform search queries using the Baidu search engine [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins).
```bash
git clone https://github.com/csunny/DB-GPT-Plugins.git
@@ -23,35 +23,5 @@ python /DB-GPT/pilot/webserver.py
Fast, reliable, scalable open-source relational database management system.
Powerful, scalable, secure relational database system by Microsoft.
In-memory analytical database with efficient query processing.
Lightweight embedded relational database with simplicity and portability.
Columnar database for high-performance analytics and real-time queries.
Robust, scalable, secure relational database widely used in enterprises.
Easy-to-use relational database for small-scale applications by Microsoft.
Flexible, scalable NoSQL document database for web and mobile apps.
Scalable, secure relational database system developed by IBM.
Distributed, scalable NoSQL database for large structured/semi-structured data.
Fast, versatile in-memory data structure store as cache, DB, or broker.
Scalable, fault-tolerant distributed NoSQL database for large data.
High-performance NoSQL document database with distributed architecture.
Powerful open-source relational database with extensibility and SQL standards.
Unified engine for large-scale data analytics.
Fast, reliable, scalable open-source relational database management system.
Powerful, scalable, secure relational database system by Microsoft.
In-memory analytical database with efficient query processing.
Lightweight embedded relational database with simplicity and portability.
Columnar database for high-performance analytics and real-time queries.
Robust, scalable, secure relational database widely used in enterprises.
Easy-to-use relational database for small-scale applications by Microsoft.
Flexible, scalable NoSQL document database for web and mobile apps.
Scalable, secure relational database system developed by IBM.
Distributed, scalable NoSQL database for large structured/semi-structured data.
Fast, versatile in-memory data structure store as cache, DB, or broker.
Scalable, fault-tolerant distributed NoSQL database for large data.
High-performance NoSQL document database with distributed architecture.
Powerful open-source relational database with extensibility and SQL standards.
Unified engine for large-scale data analytics.
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