docs: update description and dbgpts (#1162)

README.md

@@ -39,11 +39,13 @@
 
 ## What is DB-GPT?
 
-DB-GPT is an open-source, data-domain large model framework. Its purpose is to build the infrastructure for the large model domain by developing a variety of technical capabilities, including multi-model management, Text2SQL performance optimization, RAG framework and optimization, and Multi-Agents framework collaboration. These capabilities aim to simplify and facilitate the construction of large model applications around databases.
+DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. 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.
 
 ### Data Agents
+![awel_web_search_flow](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/fe1eaf9e-5a0f-4d09-b1a7-f8dc75682695)
+
 ![chat_excel](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/03d67da4-b9b9-4df3-8890-176a0941dab8)
 
 ![data agents](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/ced393b4-9180-437a-90c5-b43633cda8cb)
@@ -79,6 +81,8 @@ The core capabilities include the following parts:
 ### SubModule
 - [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub) Text-to-SQL workflow with high performance by applying Supervised Fine-Tuning (SFT) on Large Language Models (LLMs).
 
+- [dbgpts](https://github.com/eosphoros-ai/dbgpts)  dbgpts is the official repository which contains some data apps、AWEL operators、AWEL workflow templates and agents which build upon DB-GPT.
+
 #### Text2SQL Finetune
 - support llms
   - [x] LLaMA

README.zh.md

@@ -37,12 +37,16 @@
 </div>
 
 ## DB-GPT 是什么？
-DB-GPT是一个开源的数据域大模型框架。目的是构建大模型领域的基础设施，通过开发多模型管理、Text2SQL效果优化、RAG框架以及优化、Multi-Agents框架协作等多种技术能力，让围绕数据库构建大模型应用更简单，更方便。 
+DB-GPT是一个开源的AI原生数据应用开发框架(AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents)。目的是构建大模型领域的基础设施，通过开发多模型管理(SMMF)、Text2SQL效果优化、RAG框架以及优化、Multi-Agents框架协作、AWEL(智能体工作流编排)等多种技术能力，让围绕数据库构建大模型应用更简单，更方便。 
+
 数据3.0 时代，基于模型、数据库，企业/开发者可以用更少的代码搭建自己的专属应用。
 
 ## 效果演示
 
 ### Data Agents 
+
+![awel_web_search_flow](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/fe1eaf9e-5a0f-4d09-b1a7-f8dc75682695)
+
 ![chat_excel](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/03d67da4-b9b9-4df3-8890-176a0941dab8)
 
 ![data agents](https://github.com/eosphoros-ai/DB-GPT/assets/17919400/ced393b4-9180-437a-90c5-b43633cda8cb)
@@ -85,6 +89,8 @@ DB-GPT是一个开源的数据域大模型框架。目的是构建大模型领
 - [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT 插件仓库, 兼容Auto-GPT
 - [GPT-Vis](https://github.com/eosphoros-ai/DB-GPT-Web) 可视化协议 
 
+- [dbgpts](https://github.com/eosphoros-ai/dbgpts)  dbgpts 是官方提供的数据应用仓库, 包含数据智能应用, 智能体编排流程模版, 通用算子等构建在DB-GPT之上的资源。 
+
 ## 安装
 
 ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)
@@ -192,104 +198,6 @@ DB-GPT是一个开源的数据域大模型框架。目的是构建大模型领
 
 The MIT License (MIT)
 
-# 路线图
-
-### 知识库RAG检索优化
-
-- [x] Multi Documents
-  - [x] PDF
-  - [x] Excel, csv
-  - [x] Word
-  - [x] Text
-  - [x] MarkDown
-  - [ ] Code
-  - [ ] Images 
-- [x] RAG
-- [ ] Graph Database
-  - [ ] Neo4j Graph
-  - [ ] Nebula Graph
-- [x] Multi Vector Database
-  - [x] Chroma
-  - [x] Milvus
-  - [x] Weaviate
-  - [x] PGVector
-  - [ ] Elasticsearch
-  - [ ] ClickHouse
-  - [ ] Faiss 
-
-### 多数据源支持
-
-- 支持数据源
-
-  - [x] MySQL
-  - [x] PostgresSQL
-  - [x] Spark
-  - [x] DuckDB
-  - [x] Sqlite
-  - [x] MSSQL
-  - [x] ClickHouse
-  - [x] StarRocks
-  - [ ] Oracle
-  - [ ] Redis
-  - [ ] MongoDB
-  - [ ] HBase
-  - [x] Doris
-  - [ ] DB2
-  - [ ] Couchbase
-  - [ ] Elasticsearch
-  - [ ] OceanBase
-  - [ ] TiDB
-
-
-### 多模型管理与推理优化
-- [x] [集群部署](https://www.yuque.com/eosphoros/dbgpt-docs/gmbp9619ytyn2v1s)
-- [x] [fastchat支持](https://github.com/lm-sys/FastChat)
-- [x] [vLLM 支持](https://www.yuque.com/eosphoros/dbgpt-docs/bhy9igdvanx1uluf)
-- [x] 上层接口兼容Openai
-- [ ] 云原生环境与Ray环境支持
-- [ ] 注册中心引入nacos
-- [ ] Embedding模型扩充，优化
-
-### Agents与插件市场
-- [x] 多Agents框架
-- [x] 自定义Agents
-- [x] 插件市场
-- [ ] CoT集成
-- [ ] 丰富插件样本库
-- [ ] 支持AutoGPT协议
-- [ ] Multi-agents & 可视化能力打通，定义LLM+Vis新标准
-
-
-### 测试评估能力建设
-- [ ] 知识库的数据文本集
-- [ ] 问题集合 [easy、medium、hard]
-- [ ] 评分机制
-- [ ] Excel + DB库表的测试评估
-
-### 成本与可观测性 
-- [x] [debugging](https://db-gpt.readthedocs.io/en/latest/getting_started/observability.html)
-- [ ] 可观测性
-- [ ] 推理预算
-
-### Text2SQL微调
-- support llms
-  - [x] LLaMA
-  - [x] LLaMA-2
-  - [x] BLOOM
-  - [x] BLOOMZ
-  - [x] Falcon
-  - [x] Baichuan
-  - [x] Baichuan2
-  - [x] InternLM
-  - [x] Qwen
-  - [x] XVERSE
-  - [x] ChatGLM2
-
--  SFT模型准确率 
-截止20231010，我们利用本项目基于开源的13B大小的模型微调后，在Spider的评估集上的执行准确率，已经超越GPT-4!
-
-[More Information about Text2SQL finetune](https://github.com/eosphoros-ai/DB-GPT-Hub)
-
 ## 引用
 如果您发现`DB-GPT`对您的研究或开发有用，请引用以下<a href="https://arxiv.org/abs/2312.17449" target="_blank">论文</a>：