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Description

The Gemini Embedding's inaugural text model, known as gemini-embedding-001, is now officially available through the Gemini API and Vertex AI, having maintained its leading position on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental introduction in March, attributed to its outstanding capabilities in retrieval, classification, and various embedding tasks, surpassing both traditional Google models and those from external companies. This highly adaptable model accommodates more than 100 languages and has a maximum input capacity of 2,048 tokens, utilizing the innovative Matryoshka Representation Learning (MRL) method, which allows developers to select output dimensions of 3072, 1536, or 768 to ensure the best balance of quality, performance, and storage efficiency. Developers are able to utilize it via the familiar embed_content endpoint in the Gemini API, and although the older experimental versions will be phased out by 2025, transitioning to the new model does not necessitate re-embedding of previously stored content. This seamless migration process is designed to enhance user experience without disrupting existing workflows.

Description

Gemini's inherent multimodal capabilities allow for the conversion of various input types into diverse output forms. From its inception, Gemini has been developed with a strong emphasis on responsibility, implementing safeguards and collaborating with partners to enhance its safety and inclusivity. You can seamlessly incorporate Gemini models into your applications using Google AI Studio and Google Cloud Vertex AI, enabling a wide range of innovative uses. This integration facilitates a more dynamic interaction with technology across different platforms and applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini
Google AI Studio
Python
Vertex AI
AISmartCube
Buffup
ChatPlayground
Chaterimo
DataChain
DataGemma
F#
Fusion AI
Gemini Advanced
Genkin
Google AI Pro
Langtail
MacCopilot
Mammouth AI
Motific.ai
Rapport

Integrations

Gemini
Google AI Studio
Python
Vertex AI
AISmartCube
Buffup
ChatPlayground
Chaterimo
DataChain
DataGemma
F#
Fusion AI
Gemini Advanced
Genkin
Google AI Pro
Langtail
MacCopilot
Mammouth AI
Motific.ai
Rapport

Pricing Details

$0.15 per 1M input tokens
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

developers.googleblog.com/en/gemini-embedding-available-gemini-api/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Product Features

Product Features

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