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Signed-off-by: Jin Hai <haijin.chn@gmail.com>
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Jin Hai 2024-05-20 20:58:00 +08:00
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@ -48,8 +48,8 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
### RAG framework
<table>
<tr>
<td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="160" height="auto" /> </td>
<td> <a href="https://github.com/infiniflow/ragflow">RAGFlow</a> </td>
<td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> RAGFlow </a> </td>
<td> An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data. </td>
</tr>
</table>