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Update README (#180)
Browse filesSigned-off-by: Jin Hai <haijin.chn@gmail.com>
README.md
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## π Key Features
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- Deep document understanding-based knowledge extraction from unstructured data with complicated formats.
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- Finds "needle in a data haystack" of literally unlimited tokens.
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-
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- Intelligent and explainable.
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- Plenty of template options to choose from.
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-
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- Visualization of text chunking to allow human intervention.
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- Quick view of the key references and traceable citations to support grounded answers.
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-
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- Supports Word, slides, excel, txt, images, scanned copies, structured data, web pages, and more.
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-
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- Streamlined RAG orchestration catered to both personal and large businesses.
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- Configurable LLMs as well as embedding models.
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- Multiple recall paired with fused re-ranking.
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INFO:werkzeug:Press CTRL+C to quit
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```
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5. In your web browser, enter the IP address of your server as prompted and log in to RAGFlow.
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*The show is now on!*
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## π Key Features
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### π **"Quality in, quality out"**
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- Deep document understanding-based knowledge extraction from unstructured data with complicated formats.
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- Finds "needle in a data haystack" of literally unlimited tokens.
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### π± **Template-based chunking**
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- Intelligent and explainable.
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- Plenty of template options to choose from.
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### π± **Grounded citations with reduced hallucinations**
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- Visualization of text chunking to allow human intervention.
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- Quick view of the key references and traceable citations to support grounded answers.
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### π **Compatibility with heterogeneous data sources**
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- Supports Word, slides, excel, txt, images, scanned copies, structured data, web pages, and more.
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### π **Automated and effortless RAG workflow**
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- Streamlined RAG orchestration catered to both personal and large businesses.
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- Configurable LLMs as well as embedding models.
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- Multiple recall paired with fused re-ranking.
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INFO:werkzeug:Press CTRL+C to quit
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```
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5. In your web browser, enter the IP address and port of your server as prompted and log in to RAGFlow.
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*The show is now on!*
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