What you can do with Gemini Embedding 2
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Google Developers2.62 млн
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141 день – 69 4639:22Опубликовано 1 мая 2026, 19:00
Building multimodal RAG or agentic workflows? This model natively maps text, images, video, audio, and documents into a single unified embedding space-no intermediate conversions required.
With Matryoshka Representation Learning (MRL), you get full control over your output. Truncate from 3072 dimensions down to 1536 or even 768 to optimize for scale while maintaining high-level accuracy.
Resources:
Watch the full deep dive → goo.gle/4uFoT63
Subscribe to Google for Developers → goo.gle/developers
Speakers: Patrick Loeber
Products Mentioned: Gemini
With Matryoshka Representation Learning (MRL), you get full control over your output. Truncate from 3072 dimensions down to 1536 or even 768 to optimize for scale while maintaining high-level accuracy.
Resources:
Watch the full deep dive → goo.gle/4uFoT63
Subscribe to Google for Developers → goo.gle/developers
Speakers: Patrick Loeber
Products Mentioned: Gemini
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