🤖 AI Summary
To address the challenges of integrating massive, heterogeneous, cross-domain data in product engineering and supporting highly dynamic, context-dependent user service queries in digital ecosystems, this paper proposes a generative AI platform architecture based on agent orchestration. The architecture integrates vector embeddings, retrieval-augmented generation (RAG), and context-aware modeling, enabling semantic alignment and real-time fusion of multi-source data through a schedulable, collaborative agent mechanism. Its key innovation lies in embedding agent orchestration directly into the retrieval layer to enable situation-adaptive responses to complex queries. Experimental results demonstrate that the platform significantly improves query accuracy (+28.6%) and system scalability, while enabling seamless integration of legacy and new services—thereby enhancing user interaction efficiency and engagement depth within digital ecosystems.
📝 Abstract
MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application domains. It addresses both current and new service related queries that enhance user engagement in the digital ecosystem. This platform leverages advanced AI techniques, such as Generative AI, vectorization, and agentic orchestration to provide dynamic and context-aware responses to complex user queries.