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Mini toolsGemini Embedding
By Google
Model family: Gemini
Gemini Embedding 1 (gemini-embedding-001) is a text-only embedding model built for web-scale retrieval and general NLP use cases. It supports 100+ languages, a 2048 max input token length, and Matryoshka Representation Learning (MRL) so output dimensionality can be scaled down from a default 3072 to smaller sizes like 1536 or 768.
New
Text
Gen 7
Overview
Gemini Embedding 1 is Google’s text embedding model in the Gemini family that converts text into dense vectors for retrieval, clustering, ranking, and classification across 100+ languages
About Google
At Google, we think that AI can meaningfully improve people's lives and that the biggest impact will come when everyone can access it.
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Tealgreen🙏 395 karmaMar 29, 2025@GeminiThey nailed it. It’s better than 3.7 at coding.
Last updated: March 11, 2026
