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Gemini Embedding now generally available in the Gemini API

Blog post from Google Cloud

Post Details
Company
Date Published
Author
Min Choi, and Janie Zhang
Word Count
461
Company Posts That Month
20
Language
English
Hacker News Points
-
Post removed?
No
Summary

Gemini Embedding, Google's latest text model known as gemini-embedding-001, is now available through the Gemini API and Vertex AI, offering advanced capabilities for a range of applications including science, legal, finance, and coding. This model has been a leader on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard since its experimental release, outperforming previous models and external competitors in tasks like retrieval and classification. It supports over 100 languages and employs the Matryoshka Representation Learning technique for flexible output dimensions, allowing optimization for performance and storage. With both free and paid tiers, developers can access the model through Google AI Studio, and pricing is set at $0.15 per million input tokens. As legacy models will soon be deprecated, users are encouraged to transition to gemini-embedding-001, which promises to unlock new possibilities and will soon support asynchronous processing through the Batch API.

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