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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/

Company Information

Rabbitt.AI
United Kingdom
rabbitt.ai/

Alternatives

Alternatives

StableVicuna

StableVicuna

Stability AI
txtai

txtai

NeuML

Categories

Categories

Integrations

Gemini
Gemini Enterprise
Google AI Studio
Python
Vertex AI

Integrations

Gemini
Gemini Enterprise
Google AI Studio
Python
Vertex AI
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