25 January 2026
RAG vs KAG: Comparison and Differences in GenAI Knowledge Augmentation Generation
In a rapidly evolving landscape in the field of natural language processing (NLP) and AI systems, two methodologies are gaining prominence: RAG (retrieval-augmented generation) and KAG (knowledge-augmented generation).
These two approaches enhance the capabilities of linguistic models by integrating external knowledge sources but differ in how they access and use knowledge.
We have compiled their most important points to consider to compare them and analyze their architectures, use cases, advantages, etc.