Enterprise-Scale Cloud AI Orchestration with LLM-Driven Agents and Retrieval-Augmented Intelligence

  • Authors

    • Mallesham Goli Independent Researcher, USA. Author
    • Dr. Olivia Bennett Research Assistant, Nusantara Global University, Indonesia. Author

    DOI:

    https://doi.org/10.67228/7q0vxe9210.67228/30715725/IJIARE-2024PII6H2C

    Published 09-07-2024

  • Cloud-Native AI Orchestration, Enterprise AI Frameworks, LLM-Based Foundations, Retrieval-Augmented Generation, Enterprise AIGC Systems, AI Workflow Automation, High-Availability AI Platforms, Cloud-Native AI Infrastructure, AI Product Lifecycle Management, Intelligent Enterprise Operations

    Issue

    Vol. 7 No. 2 (2024)

    Section

    Articles

    How to Cite

    [1]
    M. . Goli and O. Bennett, “Enterprise-Scale Cloud AI Orchestration with LLM-Driven Agents and Retrieval-Augmented Intelligence”, IJIARE, vol. 7, no. 2, pp. 01–16, Sep. 2024, doi: 10.67228/7q0vxe9210.67228/30715725/IJIARE-2024PII6H2C.

  • Abstract

    With the advent of new LLM technology, enterprise AI capabilities, such as LLM-based foundations, RAG and enterprise AIGC, offer new growth opportunities. Cloud-Native AI Orchestration makes these technology foundations well into the enterprise ecosystem. By integrating these capabilities into the enterprise AI Orchestration model and framework, AgiAI provides an AI Orchestrator that supports the overall business requirements of enterprises with Cloud-Native technology. Enterprise AI Orchestration is capable of supporting the entire AI business process of an enterprise while being simple, open, high-availability, parent-child computing, reusable, and serving the process cycle. The rapid development of AI and LLM has had a huge impact on many industries, including consulting, education, and production., LLM technology preparation, rear-augmentation intelligence, enterprise generation content, and other AI capabilities not only have the potential to greatly reduce human labor in these areas, but also bring new opportunities for AI business growth. Many cloud-native technologies enable the rapid construction of Cloud-NativeAI capabilities or Cloud-NativeAI product delivery. However, AI product delivery is not only a product delivery issue, but also requires considering the product life cycle, business requirements, and resource operations of enterprises as a whole. Cloud-Native EnterpriseAI Orchestration Technology provides a cloud-native AI infrastructure tailored for enterprise AI, allowing enterprise AI business activities to be completed in a simple and efficient manner.

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