Gemini Embedding 2Google
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Related Products
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About
Gemini Embedding models, including the newer Gemini Embedding 2, are part of Google’s Gemini AI ecosystem and are designed to convert text, phrases, sentences, and code into numerical vector representations that capture their semantic meaning. Unlike generative models that produce new content, the embedding model transforms input data into dense vectors that represent meaning in a mathematical format, allowing computers to compare and analyze information based on conceptual similarity rather than exact wording. These embeddings enable applications such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation pipelines. The model can process input in more than 100 languages and supports up to 2048 tokens per request, allowing it to embed longer pieces of text or code while maintaining strong contextual understanding.
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About
Scira is a minimalistic, open-source AI-powered search engine that combines retrieval-augmented generation (RAG) and search grounding to provide accurate, up-to-date answers from trusted sources. Built with advanced AI models such as Grok, OpenAI GPT, Claude, Gemini, and more, it delivers reliable responses across diverse queries. The platform supports complex question understanding, image analysis, smart calculations, and academic research assistance. With over 100,000 active users and a vibrant developer community, Scira is designed for everyone—from students and researchers to professionals. Users can access free plans with essential features or upgrade to Pro for unlimited usage and PDF analysis. Scira’s transparency and integration with cutting-edge AI frameworks make it a trusted tool for smarter searching.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
AI developers and data engineers who need a high-performance embedding model to convert text or code into semantic vectors for search, retrieval, and AI applications
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Audience
Students, researchers, and professionals seeking an accurate, AI-powered, and open-source search engine with advanced research and analysis capabilities
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Open source
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/
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Company InformationScira AI
India
scira.ai/
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Categories |
Categories |
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python
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Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python
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