This invention relates to the field of
information retrieval and
data visualization technology, and discloses a visual text search method based on a
hybrid data model. The method includes: constructing a
hypergraph hybrid model by associating a
graph database and a vector
database using global identifiers; identifying the intent of user queries; generating structured search instructions for the
graph database and
semantic similarity search instructions for the vector
database; fusing and expanding the two types of search results based on global identifiers to form a search
result set containing an extended
knowledge graph, a
list of semantic vectors, and traceable links between them; and finally, converting the
result set into a dynamic and interactive visual view according to predefined mapping rules and a
hybrid mechanics layout algorithm. This invention effectively unifies semantic retrieval and relational retrieval, improves the comprehensiveness and accuracy of retrieval, and significantly enhances the depth of information understanding and user experience through intelligent
visualization and interaction mechanisms.