The AI-enhanced search feature of the CNKI database integrates the natural language processing and semantic comprehension capabilities of large-scale models into information retrieval, building upon the traditional search service capabilities. It supports searching for literature and original text passages using natural language, revolutionizing the search paradigm from traditional keyword-based searches to semantic vector-based searches. This advancement refines the granularity of searches from document-level to passage-level, upgrades the search experience from simple retrieval to intelligent interaction, and elevates the service quality from literal searches to guided normative searches. Additionally, it offers more intelligent application scenarios such as generating citations and reading original passages on the same topic in sequence, significantly improving the quality and efficiency of literature research. This empowers academic research, academic innovation, professional searches, and evaluation with enhanced effectiveness.

Period of validity: February 21, 2025 – August 20, 2025.

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How to Use: User Guide for AI-Enhanced Search Features in CNKI Database.docx