Cache-Augmented Generation (CAG): A Simpler and Faster Alternative to Retrieval-Augmented Generation (RAG)
Cache-Augmented Generation (CAG) has emerged as an innovative approach for enhancing language model performance by leveraging preloaded knowledge. It provides a streamlined, efficient alternative to...
ReAct: Integrating Reasoning and Acting with Retrieval-Augmented Generation (RAG)
Artificial Intelligence (AI) has evolved significantly over the years, with advancements in language models playing a crucial role. One of the latest innovations in this field is ReAct, a framework that synergizes reasoning and acting capabilities within large language models (LLMs)...
From RAG to GraphRAG: Transforming Information Retrieval with Knowledge Graphs
In the realm of artificial intelligence, the pursuit of more accurate and contextually relevant information retrieval has led to significant advancements...