Uploaded March 2026 | Updated September 2026, 2 weeks ago
Today we’re releasing Gemini Embedding 2, our first fully multimodal embedding model built on the Gemini architecture, in Public Preview via the Gemini API and Vertex AI.
Expanding on our previous text-only foundation, Gemini Embedding 2 maps text, images, videos, audio and documents into a single, unified embedding space, and captures semantic intent across over 100 languages. This simplifies complex pipelines and enhances a wide variety of multimodal downstream tasks—from Retrieval-Augmented Generation (RAG) and semantic search to sentiment analysis and data clustering.
colab.research.google.com/drive/1MEx_3cL1FBNqv80Bg1QfpzQFhJ9YY_Oy?usp=sharing
❤️ If you want to support the channel ❤️
Support here:
Patreon - patreon.com/1littlecoder
Ko-Fi - ko-fi.com/1littlecoder
🧭 Follow me on 🧭
Twitter - twitter.com/1littlecoder
Today we’re releasing Gemini Embedding 2, our first fully multimodal embedding model built on the Gemini architecture, in Public Preview via the Gemini API and Vertex AI.
Expanding on our previous text-only foundation, Gemini Embedding 2 maps text, images, videos, audio and documents into a single, unified embedding space, and captures semantic intent across over 100 languages. This simplifies complex pipelines and enhances a wide variety of multimodal downstream tasks—from Retrieval-Augmented Generation (RAG) and semantic search to sentiment analysis and data clustering.
colab.research.google.com/drive/1MEx_3cL1FBNqv80Bg1QfpzQFhJ9YY_Oy?usp=sharing
❤️ If you want to support the channel ❤️
Support here:
Patreon - patreon.com/1littlecoder
Ko-Fi - ko-fi.com/1littlecoder
🧭 Follow me on 🧭
Twitter - twitter.com/1littlecoder
