Using NotebookLM with Gemini

2026-03-18 · Source: AI Supremacy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Fundamental Awareness, short

Summary

Google is significantly enhancing its AI product ecosystem, with major updates to NotebookLM and Google Maps, alongside the introduction of Gemini Embedding 2. NotebookLM, powered by Gemini 3, Nano Banana Pro, and Veo 3, now offers "Cinematic Video Overviews," allowing Google AI Ultra subscribers to convert notes into animated videos, with a limit of 20 per day. Google Maps is receiving its "biggest upgrade in over a decade," integrating Gemini models to enable conversational queries via "Ask Maps" and introducing "Immersive Navigation" with 3D route views, enhanced road details, transparent buildings, and contextual route comparisons. Additionally, Gemini Embedding 2, Google's first multimodal embedding model, can process text (up to 8192 tokens), images (up to 6), video (up to 120 seconds), audio, and PDFs (up to 6 pages) into a unified space, supporting advanced search and RAG systems. These developments reflect Google's intense AI product development, which has led to Gemini gaining market share against competitors like ChatGPT.

Key takeaway

For AI Architects and CTOs evaluating ecosystem investments, Google's aggressive integration of Gemini across its product line, from NotebookLM's content creation to Google Maps' advanced navigation and multimodal embeddings, signals a robust, full-stack AI offering. Your teams should consider how these integrated capabilities, particularly Gemini Embedding 2 for RAG systems, could streamline development and enhance user experiences within a Google-centric environment, potentially reducing reliance on disparate AI tools.

Key insights

Google is rapidly advancing its AI ecosystem through multimodal models and integrated product enhancements.

Principles

• Multimodal AI unifies diverse data types.
• Conversational AI enhances user interaction.
• 3D visualization improves navigation clarity.

Method

Google's approach involves integrating Gemini models across its product suite, such as NotebookLM and Google Maps, to create advanced features like cinematic video generation and conversational navigation, supported by multimodal embedding capabilities.

In practice

• Use NotebookLM for AI-powered video summaries.
• Query Google Maps with complex natural language.
• Explore Gemini Embedding 2 for RAG systems.

Topics

• Gemini Models
• Multimodal Embeddings
• AI Navigation
• AI Video Generation
• AI Market Share

Best for: AI Architect, Investor, CTO, General Interest, AI Product Manager, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Supremacy.