AI Strategy
RAG vs KAG: When to Use Each
By CommunicationMall Team•
RAGKAGAIKnowledge Base
RAG: fast grounding with retrieval
RAG works best when you need fresh, source-linked context. Retrieval gives the model the most relevant snippets at runtime, reducing hallucinations and improving accuracy for factual queries.
- Great for docs and policies
- Works well with changing content
- Supports citations and traceability
KAG: structured reasoning with knowledge
KAG is strongest when the domain benefits from explicit structure: entities, relationships, and constraints. It can improve multi-hop reasoning and consistency across complex decisions.
- Best for complex decision logic
- Improves consistency over time
- Pairs well with compliance workflows