Building with Gemini Embedding 2: Our first natively multimodal embedding model @GoogleDevelopers
Building with Gemini Embedding 2: Our first natively multimodal embedding model  @GoogleDevelopers
Uploaded April 2026 | Updated September 2026, 2 weeks ago
Explore the new Gemini Embedding 2 model, which maps text, image, video, audio, and documents into a single, unified embedding space. Learn how embeddings are the key to unlocking efficient, accurate understanding across multimodal data for retrieval, search, classification, and other tasks.

Resources:
Get started with Gemini API → https://goo.gle/4eUJKgJ
Get started with Gemini Enterprise Agent Platform → https://goo.gle/3OB8KPH
Explore the Multimodal Search demo → https://goo.gle/3QXk49n

Subscribe to Google for Developers → https://goo.gle/developers

Speaker: Patrick Loeber
Products Mentioned: Google AI, Gemini
Building with Gemini Embedding 2: Our first natively multimodal embedding modelBuild smarter voice bots with Gemini 3.1 Flash-LiteWhat devs need to know about Android BenchPurrfect Code Level 5. Can you score higher than a 55?When you realize that you’re the senior dev now.5 tips to creating production-ready AI agentsDeveloper Keynote (Google I/O 26)Gemma Scope demo with NeuronpediaBuild real-time conversational voice agents with Gemini 33 updates to know about Google AI StudioAnnouncing Gemma 4, Google I/O ‘26 Updates, and more! - Google Developer News April 2026A Git challenge: Which version ends up in the repo?
Google for Developers |

Building with Gemini Embedding 2: Our first natively multimodal embedding model

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER