diff --git a/README.md b/README.md
index b356b7128..7a56bcfe2 100644
--- a/README.md
+++ b/README.md
@@ -131,7 +131,7 @@ As of October 10, 2023, through the fine-tuning of an open-source model with 13
- [**Advanced Usage**](https://docs.dbgpt.site/docs/application/advanced_tutorial/cli)
- [SMMF](https://docs.dbgpt.site/docs/application/advanced_tutorial/smmf)
- [Finetune](https://docs.dbgpt.site/docs/application/fine_tuning_manual/dbgpt_hub)
- - [AWEL](https://docs.dbgpt.site/docs/awel/get_started)
+ - [AWEL](https://docs.dbgpt.site/docs/latest/awel/tutorial)
## Features
diff --git a/docs/docs/awel/awel.md b/docs/docs/awel/awel.md
index ba90dcbe6..307990d8a 100644
--- a/docs/docs/awel/awel.md
+++ b/docs/docs/awel/awel.md
@@ -123,7 +123,7 @@ END;
- BranchOperator
- InputOperator
- TriggerOperator
-- ** Stream Operators**
+- **Stream Operators**
- StreamifyAbsOperator
- UnstreamifyAbsOperator
- TransformStreamAbsOperator
diff --git a/docs/docs/overview.md b/docs/docs/overview.md
index 01e46c119..94b3c957d 100644
--- a/docs/docs/overview.md
+++ b/docs/docs/overview.md
@@ -3,14 +3,13 @@ sidebar_position: 0
---
# Overview
-DB-GPT is an **open-source framework for large language models(LLMs) in the databases fields**. It's purpose is to build infrastructure for the domain of large language models, making it easier and more convenient to develop applications around databases by developing various technical capabilities such as:
-- **SMMF(Service-oriented Multi-model Management Framework)**
-- **Text2SQL Fine-tuning**
-- **RAG(Retrieval Augmented Generation) Framework and Optimization**
-- **Data-Driven Agents Framework Collaboration**
+🤖 **DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents**.
-In the Data 3.0 era, enterprises/developers can build their own exclusive applications with less code based on LLMs and databases.
+The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.
+
+
+🚀 **In the Data 3.0 era, based on models and databases, enterprises and developers can build their own bespoke applications with less code.**
@@ -47,12 +46,16 @@ In the Data 3.0 era, enterprises/developers can build their own exclusive applic
| terminology | Description |
|----------------------|---------------------------------------------------------------|
|
`DB-GPT` | DataBase Generative Pre-trained Transformer, an open source framework around databases and large language models |
+| `Data App` | an intelligent Data application built on DB-GPT. |
| `Text2SQL/NL2SQL` | Text to SQL uses large language model capabilities to generate SQL statements based on natural language, or provide explanations based on SQL statements |
| `KBQA` | Knowledge-Based Q&A system |
| `GBI` | Generative Business Intelligence, based on large language models and data analysis, provides business intelligence analysis and decision-making through dialogue |
| `LLMOps` | A large language model operation framework that provides a standard end-to-end workflow for training, tuning, deploying, and monitoring LLM to accelerate application deployment of generated AI models |
| `Embedding` | Methods to convert text, audio, video and other materials into vectors |
| `RAG` | Retrieval Augmented Generation |
+| `AWEL` | Agentic Workflow Expression Language, intelligent Workflow Expression Language
+| `AWEL Flow` | workflow orchestration using the intelligent workflow Expression Language
+| `SMMF` | a service-oriented multi-model management framework.
## Use Cases