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Gemini Embedding 2

gemini-embedding-2

Gemini Embedding 2 is a embedding model from Google, available through SilixarCloudInc for hosted semantic representations for search and retrieval. Hosted vector embeddings for semantic search and retrieval. The serving profile supports a 8K context window. The published license is Commercial API terms.

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StateAvailable
ProviderGoogle
ReleasedApr 22, 2026
LicenseCommercial API terms
Model overview

About Gemini Embedding 2

Gemini Embedding 2 is a embedding model from Google, available through SilixarCloudInc for hosted semantic representations for search and retrieval. Hosted vector embeddings for semantic search and retrieval. The serving profile supports a 8K context window. The published license is Commercial API terms.

Access process

Use Gemini Embedding 2 through SilixarCloudInc.

  1. 01
    Choose the model

    Use the published identifier and pricing on this page.

  2. 02
    Contact SilixarCloudInc

    Tell us your expected workload and billing requirements.

  3. 03
    Begin integration

    We confirm access and onboarding instructions by email.

All enquiries are handled through post@silixarcloudinc.com.
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Model FAQ

Frequently asked questions.

Key facts about Gemini Embedding 2, its pricing, capabilities, and access through SilixarCloudInc.

What is Gemini Embedding 2?

Gemini Embedding 2 is a embedding model from Google, available through SilixarCloudInc for hosted semantic representations for search and retrieval. Hosted vector embeddings for semantic search and retrieval. The serving profile supports a 8K context window. The published license is Commercial API terms.

What model identifier should I use for Gemini Embedding 2?

Use gemini-embedding-2 as the model identifier when configuring this model through SilixarCloudInc.

How is Gemini Embedding 2 priced?

Embedding at $0.20 per M Tokens. Charges follow recorded usage and the billing unit shown above.

What functionality does Gemini Embedding 2 support?

The current serving profile supports Serverless, Embeddings, Image input. Capabilities marked as not supported are not included in this published profile.

What are the context and output limits for Gemini Embedding 2?

The published context length is 8K, and the maximum output is not published.

How do I get access to Gemini Embedding 2?

Select “Use this model” and contact SilixarCloudInc at post@silixarcloudinc.com. We will confirm availability, account setup, and integration details by email.

Use Gemini Embedding 2

Discuss access with our team.

Contact SilixarCloudInc for model availability, account setup, and integration details.