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
Rabbitt.AI is a generative artificial intelligence platform designed to help organizations build, customize, and deploy AI solutions using their own enterprise data. It focuses on enabling companies to “own their AI and own their data” by creating industry-specific AI systems rather than relying solely on large generic models. It provides tools and services that allow businesses to develop custom large language models, fine-tune open source AI models, and integrate generative AI capabilities into existing workflows. It supports advanced techniques such as Retrieval-Augmented Generation (RAG), reinforcement learning with human feedback, and mixture-of-agents architectures to improve model performance and accuracy for specific business use cases. Rabbitt AI also includes interactive data annotation and smart labeling tools that allow organizations to create and manage custom datasets needed to train AI models.
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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
Enterprises and development teams requiring a tool to build and deploy custom generative AI models using their own data and integrate AI capabilities into business applications
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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 |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
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 InformationRabbitt.AI
United Kingdom
rabbitt.ai/
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Categories |
Categories |
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Integrations
Gemini
Gemini Enterprise
Google AI Studio
Python
Vertex AI
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