The application provides a kind of digital resource retrieval
system and method based on multi-
modal and AI
intelligent agent, it is related to electric
digital data processing technical field, its method includes obtaining multi-
modal query data and pre-
processing,
feature extraction and cross-
modal semantic alignment, generates query vector set;Identify user category and accordingly the query vector set is semantically enhanced, and generates enhanced query vector;The enhanced query vector is matched with
knowledge graph to determine the target node, and the extended query vector is generated along the semantic
diffusion of
knowledge graph;Based on the agent collaborative mechanism, the extended query vector is sequentially executed, and the parallel retrieval, fusion and sorting and confidence correction are carried out, and the modified sorting result is obtained;According to the scene
adaptation factor, the modified sorting result is reordered, and the digital resource
retrieval result is output in combination with the user category, so that
user perception,
semantic expansion and multi-agent collaborative retrieval for multi-modal education scene can be realized, and the accuracy and personalized
adaptation degree of digital resource retrieval are improved.