Google’s NotebookLM Can Now Conduct Deep Research
▼ Summary
– Google is integrating its Deep Research AI tool into NotebookLM, making it available to all users within a week.
– Deep Research allows users to select between fast or in-depth research styles, with a preview of the research plan before starting.
– During deep research, users can add more sources as the report generates, building a knowledge base without leaving their workflow.
– The final research report includes citations to relevant articles, websites, or papers that can be added to the notebook.
– NotebookLM now supports additional file types, including Google Sheets, Drive files via URL, and Microsoft Word documents in .docx format.
Google has integrated its powerful Deep Research tool directly into NotebookLM, significantly enhancing the AI-powered note-taking application’s capabilities. This move allows users to conduct comprehensive investigations on complex topics without ever leaving the platform. The company confirmed that all NotebookLM users will gain access to this advanced feature within the coming week, marking a substantial upgrade to the research workflow.
This development follows Google’s recent strategy of embedding Deep Research across its Workspace ecosystem. The tool already operates within applications like Gmail and Drive, where it leverages personal context from emails, stored files, and chat histories. By bringing this same functionality to NotebookLM, Google enables a more seamless and deeply contextual research process, drawing from a user’s own curated sources and data.
When posing a question to the system, users can now select between two distinct research methodologies. The fast research option prioritizes speed, quickly scanning available information to deliver prompt answers. In contrast, the deep research style commits to a thorough analysis, dedicating more time to locating and vetting high-quality sources. Before any research commences, the tool presents a proposed research plan, offering transparency into its intended approach regardless of the chosen method.
Opting for the in-depth analysis unlocks a particularly dynamic feature: the ability to incorporate additional sources while the report is actively being generated in the background. This interactive process helps users build a substantial and well-supported knowledge base on virtually any subject. The final output is a detailed report complete with proper citations, linking directly to the articles, websites, or academic papers used. These citations can then be effortlessly saved into the user’s notebook for future reference.
Beyond the Deep Research integration, NotebookLM is broadening its compatibility with various file formats. Users can now connect Google Sheets directly, enabling the AI to perform statistical analysis based on structured data. The process for adding Drive files, such as PDFs, has also been simplified; they can now be linked via URL instead of requiring a direct upload. Furthermore, Google has expanded support to include Microsoft Word documents in the .docx format, making the tool more versatile for users who work across different productivity suites.
(Source: The Verge)
