KAG
大语言模型KAG 是一个基于 OpenSPG 引擎与大语言模型的逻辑推理和检索框架,用来解决传统 RAG 只靠向量相似度、难以处理专业领域复杂推理的问题。它最典型的场景是搭建专业领域知识库的事实问答系统,让回答有逻辑、可溯源。
查看 GitHub 原始描述(英文)
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
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