daemond

KAG aims to make full use of the advantages of Knowledge Graph and vector retrieval, and bi-directionally enhance large language models and knowledge graphs through four aspects to solve RAG challenges: (1) LLM-friendly knowledge representation, (2) Knowledge Graph and original text The mutual index between fragments, (3) a hybrid reasoning engine guided by logical forms, (4) knowledge alignment with semantic reasoning.

The author believes that SQL is the core competency of Data Engineering. Now that ChatGPT can translate natural language into good SQLs. So Data Engineering is going to be retired?

I am curious if wearing this device for a long time will cause dizziness.