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Description
Gemini Embedding models, which include the advanced Gemini Embedding 2, are integral to Google's Gemini AI framework and are specifically created to translate text, phrases, sentences, and code into numerical vector forms that encapsulate their semantic significance. In contrast to generative models that create new content, these embedding models convert input into dense vectors that mathematically represent meaning, facilitating the comparison and analysis of information based on conceptual relationships instead of precise wording. This functionality allows for various applications, including semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation processes. Additionally, the model accommodates input in over 100 languages and can handle requests of up to 2048 tokens, enabling it to effectively embed longer texts or code while preserving a deep contextual understanding. Ultimately, the versatility and capability of the Gemini Embedding models play a crucial role in enhancing the efficacy of AI-driven tasks across diverse fields.
Description
Rabbitt.AI is a platform for generative artificial intelligence aimed at assisting organizations in building, personalizing, and implementing AI solutions tailored to their own enterprise data. The platform emphasizes the importance of allowing companies to "own their AI and their data" by developing AI systems that cater to specific industries rather than depending exclusively on broad, generic models. It offers a range of tools and services that empower businesses to create custom large language models, optimize open-source AI models, and seamlessly incorporate generative AI features into their existing workflows. Furthermore, Rabbitt.AI leverages advanced methodologies such as Retrieval-Augmented Generation (RAG), reinforcement learning with human feedback, and mixture-of-agents architectures to enhance model accuracy and performance for particular business needs. Additionally, the platform includes interactive data annotation and intelligent labeling tools, enabling organizations to generate and manage the unique datasets required for effective training of their AI models. This comprehensive approach not only streamlines implementation but also ensures that companies can adapt their AI solutions as their needs evolve.
API Access
Has API
API Access
Has API
Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python
Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python
Pricing Details
Free
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
Founded
1998
Country
United States
Website
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/
Vendor Details
Company Name
Rabbitt.AI
Country
United Kingdom
Website
rabbitt.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)