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Update README (#180)

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Signed-off-by: Jin Hai <haijin.chn@gmail.com>
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## 🌟 Key Features
- 🍭 **"Quality in, quality out"**
### 🍭 **"Quality in, quality out"**
- Deep document understanding-based knowledge extraction from unstructured data with complicated formats.
- Finds "needle in a data haystack" of literally unlimited tokens.
- 🍱 **Template-based chunking**
### 🍱 **Template-based chunking**
- Intelligent and explainable.
- Plenty of template options to choose from.
- 🌱 **Grounded citations with reduced hallucinations**
### 🌱 **Grounded citations with reduced hallucinations**
- Visualization of text chunking to allow human intervention.
- Quick view of the key references and traceable citations to support grounded answers.
- 🍔 **Compatibility with heterogeneous data sources**
### 🍔 **Compatibility with heterogeneous data sources**
- Supports Word, slides, excel, txt, images, scanned copies, structured data, web pages, and more.
- 🛀 **Automated and effortless RAG workflow**
### 🛀 **Automated and effortless RAG workflow**
- Streamlined RAG orchestration catered to both personal and large businesses.
- Configurable LLMs as well as embedding models.
- Multiple recall paired with fused re-ranking.
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INFO:werkzeug:Press CTRL+C to quit
```
5. In your web browser, enter the IP address of your server as prompted and log in to RAGFlow.
5. In your web browser, enter the IP address and port of your server as prompted and log in to RAGFlow.
*The show is now on!*