Fix: add assets for readme. (#47)

Add assets for readme.
This commit is contained in:
Aries-ckt 2023-05-16 22:30:22 +08:00 committed by GitHub
commit 2566520dc0
4 changed files with 17 additions and 12 deletions

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@ -60,11 +60,16 @@ Run on an RTX 4090 GPU. [YouTube](https://www.youtube.com/watch?v=1PWI6F89LPo)
</p>
1. Based on the default built-in knowledge base, question and answer.
- TODO
<p align="center">
<img src="./assets/Knownledge_based_QA_en.png" width="600px" />
</p>
2. Add your own knowledge base.
- TODO
<p align="center">
<img src="./assets/new_knownledge_en.gif" width="600px" />
</p>
3. Learning from crawling data from the Internet
@ -183,15 +188,15 @@ We provide a user interface for Gradio, which allows you to use DB-GPT through o
## Acknowledgement
The achievements of this project are thanks to the technical community, especially the following projects:
- FastChat for providing chat services
- vicuna-13b as the base model
- langchain tool chain
- Auto-GPT universal plugin template
- Hugging Face for big model management
- Chroma for vector storage
- Milvus for distributed vector storage
- ChatGLM as the base model
- llama-index for enhancing database-related knowledge using in-context learning based on existing knowledge bases.
- [FastChat](https://github.com/lm-sys/FastChat) for providing chat services
- [vicuna-13b](https://lmsys.org/blog/2023-03-30-vicuna/) as the base model
- [langchain](https://langchain.readthedocs.io/) tool chain
- [Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) universal plugin template
- [Hugging Face](https://huggingface.co/) for big model management
- [Chroma](https://github.com/chroma-core/chroma) for vector storage
- [Milvus](https://milvus.io/) for distributed vector storage
- [ChatGLM](https://github.com/THUDM/ChatGLM-6B) as the base model
- [llama_index](https://github.com/jerryjliu/llama_index) for enhancing database-related knowledge using [in-context learning](https://arxiv.org/abs/2301.00234) based on existing knowledge bases.
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@ -57,7 +57,7 @@ DB-GPT 是一个开源的以数据库为基础的GPT实验项目使用本地
3. 自动分析执行SQL输出运行结果
<p align="center">
<img src="./assets/AUTO-DB-GPT.png" width="600px" />
<img src="./assets/Auto-DB-GPT.png" width="600px" />
</p>
### 数据库问答

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