AI & Machine Learning

AI Knowledge Management for Agents: From RAG to Working Memory

Ali Nemati5 hours ago23 sec read6 views0 listens

The article details the shift from Retrieval-Augmented Generation (RAG) to Working Memory for enhancing AI knowledge management. This transition allows AI systems to dynamically update and use context-aware information, improving their responsiveness and decision-making capabilities. Developers should focus on integrating dynamic memory structures into existing AI frameworks to enhance agent performance.

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