Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
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.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
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.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
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.
Skill-Verzeichnis
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
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.