NotebookLM Tutorial: Searching PDFs with RAG

This educational video provides a practical guide on using Google NotebookLM to perform semantic searches across dozens of PDF files. The presenter illustrates how the tool processes documents, retrieves relevant passages, and uses language models to answer specific queries, such as finding late-delivery penalties in contracts. The tutorial also highlights technical limitations associated with RAG, including issues with varied wording, appendices, and scanned images, advising users to verify AI findings against original sources.