KAG: A Better Alternative to RAG for Domain-Specific Knowledge Applications

Publication date: Jan 05, 2025

However, RAG struggles with key limitations, especially in professional domains that demand logic, precision, and coherent reasoning. To bridge these gaps, Knowledge Augmented Generation (KAG) emerges as an innovative framework. Retrieval-Augmented Generation (RAG), a popular framework that enriches LLMs with external knowledge, has been pivotal in building domain-specific applications. Logical Limitations

Concepts	Keywords
Breakthroughs	Alternative
Graphs	Augmented
Professional	Based
Rag	Day
Sarayavalasaravikiran	Domain
	Kag
	Knowledge
	Large
	Limitations
	Llms
	Logic
	Models
	Rag
	Retrieval
	Specific