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AI Tools for Research

This guide offers advice on AI-powered tools and functionality created for or used in academic research.

Searching with AI tools

The following tools aim to help you find research on a topic. They all have AI- or machine learning-based features, such as semantic search, text summarization, conversational interfaces, and more.

Important notes:

  • Most tools search one or more open scholarly metadata sources such as Semantic Scholar, CrossRef, OpenAlex, and others. Some of these sources have >200 million records and others are more restricted. None of the sources are as comprehensive as Google Scholar, which is estimated to have almost 400 million records. Check the tool's help documentation for information about its sources. See this Wikipedia page for a sortable list of the largest metadata aggregators.
  • Access to citation/abstract metadata and the full-text of open access articles still omits a vast amount of scholarly research contained in full-text paywalled articles. When crafting answers and summaries, tools without access to full-text will base their answers on abstracts.
  • Tools with a connection to scholarly literature do not tend to make up fake citations, but they may cite a real reference in a way that misrepresents its contents.
  • None of these tools are appropriate for systematic review searching, which requires explicit search strategies that are documented and reproducible. For recommendations and help with systematic review searching, and to get in touch with our service team through Temple Libraries' Evidence Synthesis & Systematic Reviews page.

Multi-functional AI "research assistants"

Other tools for literature searching

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