Contextual Autonomy: The Next Phase of Agentic AI Architecture Beyond RAG and Prompt-Centric Design

Authors

  • Kiran Kumar Ramanna

Keywords:

Contextual Autonomy Architecture, Retrieval-Augmented Generation, Agentic AI Systems, Reasoning Graphs, Temporal Memory Flows, Governance Architecture, Enterprise AI Deployment

Abstract

Enterprise deployment of Large Language Models faces critical challenges in maintaining coherentreasoning across interactions, enforcing policy compliance, and adapting to evolving user contexts. While Retrieval-Augmented Generation

References

Patrick Lewis, et al., "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks," arXiv, 2020. Available: https://arxiv.org/abs/2005.11401

Downloads

Published

2026-03-11

How to Cite

Kiran Kumar Ramanna. (2026). Contextual Autonomy: The Next Phase of Agentic AI Architecture Beyond RAG and Prompt-Centric Design . Journal of Computational Analysis and Applications (JoCAAA), 35(3), 126–150. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5099

Issue

Section

Articles