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NotebookLM

The latest AI news we announced in June 2026 Try these 3 Google AI tools to help find your next job. NotebookLM is transforming student success at FSU Do better research with NotebookLM Dive deeper into I/O 2026 with NotebookLM. Explore Benjamin Franklin’s scientific discoveries on NotebookLM Generate your own Cinematic Video Overviews in NotebookLM. Organize your insights with Data Tables in NotebookLM. NotebookLM adds Deep Research and support for more source types Create flashcards and quizzes in the NotebookLM app. Nano Banana is coming to Google Search, NotebookLM and Photos. Video Overviews on NotebookLM get a major upgrade with Nano Banana 6 ways to use NotebookLM to master any subject NotebookLM's Video Overviews are now available in 80 languages Explore all the Made by Google news with NotebookLM. NotebookLM is now available to younger users. The inside story of building NotebookLM What’s new in NotebookLM: Video Overviews and an upgraded Studio Try featured notebooks on selected topics in NotebookLM NotebookLM is adding a new way to share your own notebooks publicly. Understand all the I/O news with NotebookLM. Understand anything, anywhere with the new NotebookLM app NotebookLM Audio Overviews are now available in over 50 languages
Chat in NotebookLM: A powerful, goal-focused AI research ...
Anuja Agrawal · 2025-10-30 · via NotebookLM

We’ve significantly improved chat in NotebookLM with a 8x larger context window, 6x longer conversation memory and boosting response quality by 50%. Plus, anyone can now set goals in Chat to better steer responses towards their custom needs.

General summary

NotebookLM has new upgrades to make it smarter and more powerful for you. Expect better performance, quality, and contextual understanding with the latest Gemini models. You can now customize chat to adopt a specific goal, voice, or role.

Summaries were generated by Google AI. Generative AI is experimental.

Basic explainer

NotebookLM got a lot smarter and works better now. It can look at way more information at once and remember your conversations. You can even tell it what kind of helper you want, like a teacher or a game master. This helps you get better answers and ideas for your projects.

Summaries were generated by Google AI. Generative AI is experimental.

Explore other styles:

Stylized illustration of a person at the center of interconnected data points, messages, and document snippets, representing AI processing information.

We’re rolling out changes to NotebookLM to make it fundamentally smarter and more powerful. First, a set of back-end improvements provide a major boost to performance and quality, and second, we are expanding the ability to set goals for your notebook, allowing each notebook to adapt to your needs. Here’s what’s new.

Get deeper insights and clearer answers

We have made fundamental upgrades to how chat in NotebookLM works. These back-end improvements, powered by the latest Gemini models, work together to improve performance, quality and contextual understanding. Since we started testing these improvements, we’ve seen a 50% improvement in user satisfaction with responses that use larger amounts of sources. Here’s everything we’ve improved:

  • More seamless and natural conversations. We have significantly expanded NotebookLM’s processing capabilities, conversation context and history. Starting today, we’re enabling the full 1 million token context window of Gemini in NotebookLM chat across all plans, significantly improving our performance when analyzing large document collections. Plus, we've increased our capacity for multiturn conversation more than sixfold, so you can get more coherent and relevant results over extended interactions.

Diagram illustrating the process of a RAG model, showing an original query ("What are the major strategic drivers of growth and their financial impacts?") leading to a NotebookLM Retrieval and Ranking process (intermediate questions) and a final NotebookLM output (a detailed response).

  • Deeper insights. We have enhanced how NotebookLM finds information in your sources. To help you uncover new connections, it now automatically explores your sources from multiple angles, going beyond your initial prompt to synthesize findings into a single, more nuanced response. This is especially important for very large notebooks, where careful context engineering is critical in delivering a high quality and trustworthy answer, grounded on the most relevant information in your sources.
  • Saved and secure conversation history. To support long-term projects, your conversations will now be automatically saved. You can now close a session and resume it later without losing your conversation history. You can delete chat history at any time, and in shared notebooks, your chat is visible only to you. This will start rolling out to users over the next week.

"Configure Chat" dialog box with "Custom" selected to define a conversational goal, style, or role for a notebook.

Personalize your chat with goals

Now available to all users, you can customize chat to adopt a specific goal, voice or role — ranging from a PhD student analyzing sources to a creative storyteller exploring ideas. To get started, click the configuration icon in the chat.

Then, write how you want your chat to behave and the goal you want to achieve. Here are a few to try:

  • Treat me like a PhD candidate: You are my research advisor. Rigorously challenge every assumption. Ask probing questions, identify logical fallacies and force me to defend my work from the ground up.
  • Act as a lead marketing strategist: Your response must be an immediate action plan. Be analytical and direct, and focus exclusively on the concrete strategies and critical-path steps needed to achieve the goal fast.
  • Analyze the provided material from three distinct perspectives: As a strict academic focusing on evidence and logical consistency, as a creative strategist looking for non-obvious connections and innovative applications, and as a skeptical reviewer actively searching for gaps, flaws and potential problems in the conclusions.
  • Act as a Game Master for a text-based simulation. Present a high-stakes scenario with a specific goal and a step limit (e.g., 10). I make all the choices. Narrate the outcomes vividly, using realistic, scenario-relevant details.

By integrating our latest model improvements, we're delivering more precise, insightful, and context-aware responses than ever before. With the ability for everyone to set goals for conversions, NotebookLM is now better equipped to adapt to your specific project. We hope these changes unlock new levels of productivity and creativity for your work.

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