NotebookLM: A Powerful AI Tool with a Limiting Source Limit

In the world of productivity tools, NotebookLM stands out as a standout choice for many users, including this journalist. However, its unique source limit poses a significant challenge.

Understanding NotebookLM's Source Limit

NotebookLM operates on a notebook-based system, where each notebook functions as a self-contained database. Every notebook you create is independent from the others and completely siloed from anything you've added elsewhere. The documents, website URLs, YouTube videos, pasted text, audio files, images, etc., that you upload are all treated as sources within each notebook.

Quality vs. Quantity

The sources you populate your NotebookLM notebooks with are key. They determine the quality, accuracy, and depth of everything the tool generates. If you add low-quality or overly dense sources to your notebooks, you'll naturally get weaker, less helpful outputs. The AI can only work with what you feed it, so the clearer, cleaner, and more structured your sources are, the better NotebookLM performs.

Challenges with Complex Sources

One of the most notable challenges with NotebookLM's source limit is its impact on complex sources, such as Google Sheets with multiple tabs or large, dense tables. The AI can easily get confused about which rows or columns are relevant, often pulling incomplete or inaccurate chunks as a result.

Implications for Users in North East India and Beyond

For users in North East India and across India, this source limit can be a significant hurdle, particularly for those working with extensive data sets or multiple projects. It requires a strategic approach to organizing and managing notebooks to ensure the AI can deliver accurate, high-quality outputs.

Looking Ahead

As AI tools continue to evolve, it's hoped that NotebookLM will address its source limit to provide a more seamless and efficient user experience. Until then, users will need to adapt their strategies to make the most of this powerful tool.