NotebookLM

Technical Setup & Integration Notes

Authentication: NotebookLM requires a Google Account (personal or Workspace). There is no public REST API as of mid-2025; access is exclusively through the web UI at notebooklm.google.com.

Source Ingestion:

• Supported types: Google Docs, Google Slides, PDFs, web URLs, YouTube video URLs, and plain text pastes.
• Limits (free tier): Up to 50 sources per notebook; up to 500,000 words per source.
• Google Drive sources are referenced live; external PDFs and text are copied at upload time.

Model Backend: Powered by Gemini (Google DeepMind). All queries use retrieval-augmented generation (RAG) — the model's responses are conditioned on the uploaded source context, reducing hallucination.

NotebookLM Plus (paid/enterprise):

• Available via Google One AI Premium or Google Workspace add-on.
• Higher limits: up to 5× more notebooks, queries, and audio overviews.
• Customizable Audio Overview style and length.
• Enterprise data governance controls for Workspace deployments.

No API / Embedding: As of now, NotebookLM does not expose a public API for programmatic source ingestion or querying. Developers seeking similar functionality programmatically should look at the Gemini API with RAG capabilities via Google AI Studio or Vertex AI.