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@ -341,6 +341,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/zilliztech/deep-searcher"> DeepSearcher </a> </td>
<td> DeepSearcher combines powerful LLMs (DeepSeek, OpenAI, etc.) and Vector Databases (Milvus, etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. </td>
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<td width="80"> <img src="https://raw.githubusercontent.com/OpenSPG/openspg/089188f3e7b0392221f5a8e8f1a3629b6352a6f9/LOGO.png" alt="Icon" width="64" height="auto"/> </td>
<td> <a href="https://github.com/OpenSPG/KAG/blob/master/README.md"> KAG </a> </td>
<td> KAG is a logical reasoning and Q&A framework based on the <a href="https://github.com/OpenSPG/openspg">OpenSPG</a> engine and large language models, which is used to build logical reasoning and Q&A solutions for vertical domain knowledge bases. KAG can effectively overcome the ambiguity of traditional RAG vector similarity calculation and the noise problem of GraphRAG introduced by OpenIE. KAG supports logical reasoning and multi-hop fact Q&A, etc.</td>
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