Communications in Humanities Research ISSN: 2753-7072
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Research Article

RAG-Based Platform for the Semantic Translation and Intelligent Design of Traditional Chinese Colors

Yilan ZhaoDonghua University Miao WangChina Fashion & Color Association Xinyuan ChenDonghua University Yi DingDonghua University* Zhiwei XuDonghua University

* Corresponding author: [email protected]

Abstract

The traditional Chinese color system contains unique cultural concepts and philosophical expressions, and has important application value in contemporary design. However, its semantic ambiguity and insufficient retrieval efficiency limit its practical use. In order to cope with this challenge, this study proposes a semantic color conversion framework based on retrieval enhancement generation (RAG) algorithm. By constructing a five-dimensional data model suitable for multi-source unstructured data and combining it with RAG technology, an intelligent design platform based on WeChat applet is developed. With the help of high-dimensional semantic embedding and cosine similarity calculation, the system can accurately retrieve color entries related to cultural context, and realize the efficient transformation from natural language to traditional Chinese color scheme, thus providing an extensible solution for the transformation of traditional color semantics into practical design applications. The method proposed in this study also provides an extensible reference path for the construction of other cultural and knowledge-based information systems.

Keywords: traditional Chinese colors; Retrieval-Augmented Generation; intelligent design platform
Published: April 28, 2026
DOI: 10.54254/2753-7064/2026.HT33073
Volume: CHR Vol.106
pp. 147-153
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