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 tradi
Create question-and-answer systems that use logical reasoning for specialized knowledge areas.
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Free · no card · unsubscribe anytimeKAG 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 tradi
KAG has 9k stars on GitHub. It has been forked 712 times. KAG is written mainly in Python. It has been in active development since 2024. KAG is available under the Apache-2.0 license. Its main topics are knowledge-graph, large-language-model, logical-reasoning, multi-hop-question-answering.
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 tradi
KAG is an open-source project. It is released under the Apache-2.0 license.
Yes. KAG is free and open source — you can use, modify and self-host it.
KAG is available under the Apache-2.0 license.
KAG is written mainly in Python.
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