Niedersächsische Staats- und Universitätsbibliothek GöttingenNiedersächsische Staats- und Universitätsbibliothek Göttingen
SUB Göttingen

Literature Search Using AI

The use of artificial intelligence (AI) can simplify the process of searching scientific literature and highlight connections, but it does not replace the expert assessment of quality, context and interpretation.

The Pros and Cons of AI Tools in Finding Literature

AI tools offer a quick way to start searching and can be a useful complement to traditional search tools such as library catalogues and databases. AI tools have limited ability to assess the relevance of literature to your research topic and can only access licensed academic databases and printed media to a limited extent – yet these are essential to the quality of your work. That is why sound research skills remain indispensable. To develop these skills, you can, amongst other things, attend our training sessions and courses.

If you possess these skills, AI tools can provide effective support with literature searches. AI tools can analyse large amounts of data, highlight correlations and semantically evaluate search queries. The results can often be automatically presented in the form of summaries. 

Courses

You can find the latest dates in the events calendar or at the bottom of this page.

Selected AI-Powered Research Tools

If you are considering conducting a literature search using AI, it is advisable to use an AI tool that has been specifically developed for literature searches. General language models (Large Language Models, LLMs), such as OpenAI’s ChatGPT, are not yet suitable for systematic literature searches.

The following overview lists selected AI tools designed to assist students and researchers with literature searches. These AI tools take different approaches to analysing and presenting search results.

  • Consensus (partly free, account required)
    Search using a research question or keywords 
  • Elicit (partially free, account required)
    Search by research question or keywords 
  • Keenious (partly free, account required)
    Search using a research question, keywords or an uploaded document 
  • ResearchRabbit (partially free, account required)
    Search using a seed paper (a publication you have already found); visually presents connections between publications, authors, etc. 
  • Semantic Scholar (free, no account required)
    Search using keywords
  • Perplexity (free, no account required)
    Search using a research question

Lizenzierte Datenbanken mit integrierter KI-Recherche

The databases licensed by SUB Göttingen, such as SciFinder, Web of Science, ProQuest Ebook Central, Statista and beck-online, increasingly feature integrated AI search options. Some databases offer chat functions, summaries of text passages or agent-based searches within the platform.

The advantage of these integrated AI functions is that these services may have access to the full texts in the databases, thereby providing more information than other tools. However, the same applies to these additional features: please always check the results, as these AI systems may also produce inaccurate results.

The Limitations of Literature Research Using AI Tools