The AI Enhanced Retrieval of the CNKI Total Database integrates the natural language processing and semantic understanding capabilities of large models into information retrieval, building upon the traditional retrieval services. It supports literature and document paragraph retrieval using natural language queries. This service enables a transition from traditional keyword-based retrieval to semantic vector-based retrieval, from document retrieval to paragraph retrieval, from simple retrieval to intelligent interactive retrieval, and from literal retrieval to standardized guidance retrieval. Additionally, it offers applications such as citation generation and original paragraph reading across the same theme.
Access Address: https://next.cnki.net/
Access Method: Controlled by on-campus IP.
Access Period: From now until December 31, 2024.
Library
October 24th, 2024