Google has introduced major upgrades to NotebookLM, its AI-powered research and note management tool, targeting researchers, students, professionals, and anyone handling large information collections. The revamped NotebookLM now leverages the full 1 million token context window of Gemini, Google’s latest large language model, offering much greater context retention and analysis for extended documents or projects. These changes are available to all users starting this week, with saved conversation history rolling out over the next several days. Users from all supported regions can access the new features via the web, with expanded customization options for goal-setting and chat persona now live.
Another @NotebookLM ship - Huge quality improvements in our core Chat experience!
— Simon (@tokumin) October 29, 2025
When you need to work over very Long Context, Notebook is the best tool for your task.https://t.co/zHU1Ao6V0N
NotebookLM’s technical advancements focus on deeper contextual understanding, improved retrieval and synthesis of data, and increased multiturn conversation capacity. Unlike its previous iterations, the updated NotebookLM can hold a much longer conversation thread, drawing connections from a wider array of sources and delivering more nuanced answers. The ability to customize chat roles means users can tailor the AI’s behavior for specific tasks, whether academic review, marketing strategy, or creative writing. Compared to similar tools, NotebookLM’s context window and role-setting features place it ahead in handling complex, multi-source research tasks.
Google, as the developer, has positioned NotebookLM as a key demonstration of its Gemini model’s capabilities. This release underlines Google’s commitment to building advanced AI utilities that adapt to user-defined goals and privacy needs. Early feedback from research communities and power users highlights improved answer quality and greater project continuity, owing to the expanded context and saved history functions.
