Multimodal Search Engine Core Technology System

Multimodal Search Engine Core Technology System is designed to enhance intelligent search and data analysis by integrating Natural Language Processing (NLP), Message Queue, WebService, and SOA Service Bus technologies. It supports multimodal search, enabling users to input and retrieve data through text, voice, and image processing. The software provides smart data interaction and analysis, including interactive analytics, comprehensive insights, and language management, with visualization tools like line charts, pie charts, and bar charts. Built on a distributed system architecture, it leverages Message Queue technology for efficient data transmission and high concurrency, while the SOA Service Bus ensures seamless integration with various systems. To maintain security and access control, it incorporates role-based system permission management, supporting roles such as Super Administrator, Application Administrator, Operation Administrator, and Data Maintenance Administrator. The platform also features content management, device management, and interaction management, optimizing data storage, retrieval, and controlled access, while caching mechanisms and load balancing enhance performance. Additionally, it supports software deployment, role management, and system maintenance, ensuring long-term stability and reliability.