[Purpose/significance] Exploring the constituent elements of a multimodal holographic knowledge profile architecture, constructing its theoretical model, and elucidating its operational mechanisms to provide a theoretical  framework and directional guidance for the transformation of intelligent knowledge services within the human-AI interaction paradigm. [Method/process] Based on the structural logic and process logic of human-AI knowledge interaction, this study delves into the constituent elements of a multimodal holographic knowledge profile architecture. Building upon this foundation, it constructs a theoretical model for the architecture, elucidates its operational mechanisms,and analyzes its practical feasibility and value realization across various application domains. [Result/conclusion] In human-AI interaction scenarios, the multimodal holographic knowledge profile architecture comprises static and dynamic components. Static elements include four core components: subject, resources, space, and technology. Dynamic elements encompass five key components: demand mapping, scenario embedding, memory reconstruction, value reshaping, and service coordination. The multimodal holographic knowledge profile architecture is structured across three hierarchical levels: the foundational construction layer, the interactive perception layer, and the value service layer. The three levels undergo cyclical iteration. Through the knowledge twin system, they establish a contextualized knowledge unit generation mechanism, an asset-based knowledge profile storage mechanism, and a collaborative knowledge service feedback mechanism. Together, they shape a one-stop intelligent knowledge service system encompassing "demand-service-feedback-optimization", driving the intelligent transformation and upgrading of human-AI interactive knowledge services.