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1. Complementary solution:
   KGs and LLMs complement each other to implement a use case that each would not be able to do. [I wouldn't restrict to the point that alone KG and LLM would not be able to solve the task. Probably better to say that their complementary use enhances the performance/quality/efficiency/... (significantly)]
   
   1. KG-based (Semantic or Graph) RAG
2. Improve LLMs by using KGs
   1. reduce hallucinations/garbage
   2. provide additional background knowledge
   3. ...
3. Improve KGs by using LLMs
   1. improve structure of KGs-> extend/augment KG with nodes/entities + relations
   2. content -> add labels/descriptions based on other KG entities
   3. Context-aware translation of labels/literals between different languages
   4. Disambiguate KG entities
   5. LLMs for entity matching in different KGs
   6. LLMs for ontology engineering tasks (in ontology design, ontology mapping/alignment,...)
      
   7. ...