Contextual Autonomy: The Next Phase of Agentic AI Architecture Beyond RAG and Prompt-Centric Design
Keywords:
Contextual Autonomy Architecture, Retrieval-Augmented Generation, Agentic AI Systems, Reasoning Graphs, Temporal Memory Flows, Governance Architecture, Enterprise AI DeploymentAbstract
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
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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
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