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AI Tools for Information Discovery

Common Types of AI Tools

AI-powered solutions associated with or embedded within NUS Libraries subscribed databases enhance research process by extracting key insights from individual articles, synthesizing multiple search results and assisting in building search queries etc.

"The two most common types of AI tools introduced are (a) those that create, alter or assist search queries, and (b) those that summarize results sets or items."

Taylor, Jaime, et al. ‘A Survey of AI Tools in Library Tech: Accelerating into and Unlocking Streamlined Enhanced Convenient Empowering Game-Changers’. Journal of Electronic Resources Librarianship, May 2025, pp. 1–14. DOI.org (Crossref), https://doi.org/10.1080/1941126X.2025.2497738.

For a recording by NUS Libraries on this topic, please refer to "AI for Smarter Literature Search" workshop here which covers:

  • AI Tools in library subscribed databases
  • Limitations of AI Tools 
  • Guidelines on the Use of AI Tools For Academic Work (by NUS AI Working Group)

Do note that this was conducted in March 2025 and there may have been developments since. 

AI Academic Search Tools

NUSearch+ is a unified platform by NUS Libraries that enhances access to diverse resources across GLAM+ (Galleries, Libraries, Archives, Museums and Performing Arts). This integration of collection provides a more cohesive user experience, simplifying research and discovery while allowing seamless exploration of resources across different collections and domains.

Summon Research Assistant is an AI-enhanced discovery tool of NUSearch+ that is designed to enhance research efficiency by summarizing relevant query responses and highlighting the most pertinent resources.

To start using it, simply click the Summon Research Assistant icon located in the  NUSearch+ interface. You can log in using your NUS account.

 

It enables users to query the Central Discovery Index (CDI) content in natural language and generate a topical overview in real-time with top 5 sources cited using Large Language Models (LLMs).  LLMs have limitations and may generate inaccurate responses, users should check for accuracy and verify the responses against the source materials provided.

 

Selecting a source displays its abstract at the bottom of the section. More details and Request Options lets users display the article's full record in Summon.

 

Selecting the View related results tile triggers a search in Summon. Users can then apply facets, filters, and any other Summon search functionality from the expanded results in Summon to refine the search results for this topic.

 

Strengths:

  • Saves time by summarizing relevant query responses, allowing researchers to quickly grasp key information without reading through multiple sources
  • Related research questions are helpful for identifying key themes or areas for discussion
  • Formulated search statement includes alternative and related terms for the queried topic. These relevant terms can be included for conducting comprehensive searches 

 

Limitations:

  • NUS Libraries' local resources, including LINC, ScholarBank, Museum, and LibGuides, are not included in the content scope
  • Does not support follow-up questions or conversational context, requiring users to include all relevant information in each new query
  • Response to a query may not be generated using all 5 sources
  • Formulated search statement merely combines alternative phrases with Boolean operator OR

For further details, refer to Getting Started with Summon Research Assistant.

 

Re-Using this Guide

License Information: This Guide, created by NUS Libraries, is licensed CC BY-NC 4.0.

Attribution Statement: "AI in Information Discovery" by NUS Libraries is Licensed Creative Commons Attribution-NonCommercial 4.0 

Write to us: Please drop us an email at askalib@nus.edu.sg if you'd like to re-use any parts of this LibGuide!