Cited Search and Grounded Q&A with NotebookLM
NotebookLM’s source-grounded chat eliminates the guesswork and risk of AI hallucination. This session explores how to ask questions of your uploaded documents and receive answers that link directly back to original passages, with full transparency and verifiability.
- Overview
- Audience
- Prerequisites
- Curriculum
Description:
NotebookLM's source-grounded chat eliminates the guesswork and risk of AI hallucination. This session explores how to ask questions of your uploaded documents and receive answers that link directly back to original passages, with full transparency and verifiability. Participants will learn to structure effective queries, organise document sets for reliable retrieval, and use NotebookLM's suggested questions to surface insights they might not have considered. Whether you're conducting research, managing compliance, or extracting value from large document collections, this hands-on session shows you how to build a querying workflow that delivers accurate, cited answers every time.
Duration:
90 minutes
Course Code: BDT624
Learning Objectives:
After this course, you will be able to:
- Understand how source-grounded search and chat differ from general AI chat
- Effectively upload, organize, and structure document sets in NotebookLM
- Craft targeted questions designed for accurate, cited retrieval
- Use inline citations to trace answers back to specific source passages and verify accuracy
- Leverage suggested questions and conversational follow-ups to surface deeper insights
- Design a sustainable querying workflow for document sets relevant to their work or research
- Researchers and analysts working with large document collections
- Compliance and legal professionals needing verifiable, cited answers
- Operations and project managers extracting insights from reports and documentation
- Students and knowledge workers organizing complex source material
- Anyone seeking AI-assisted research with built-in source verification
- Google account with access to Google NotebookLM (free)
- Familiarity with basic document uploads and cloud storage
- A sample document or document set you'd like to explore (optional but recommended)
- Basic understanding of how AI search differs from traditional keyword search
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Course Outline:
- How NotebookLM Works: Source-Grounding vs. General AI Chat
- The Problem with Hallucination and How Citations Solve It
- Preparing Documents: Best Practices for Upload and Organization
- Hands-On: Uploading Your First Document Set
- Asking Effective Questions: Prompting Strategies for Cited Responses
- Understanding Inline Citations: Tracing Answers to Source Passages
- Using Suggested Questions to Discover Hidden Insights
- Real-World Applications: Research, Compliance, Operations, and Knowledge Management
- Building Your NotebookLM Workflow: Document Organization to Query Execution
- Live Demo and Q&A
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Training Materials Provided: Yes (Digital Format)




