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What is Rabbitt.AI?

Rabbitt.AI serves as a generative artificial intelligence platform designed to help organizations develop, customize, and deploy AI solutions specifically tailored to their unique enterprise data. The platform prioritizes the concept of enabling companies to "own their AI and their data" by focusing on building AI systems that are industry-specific, rather than relying solely on general-purpose models. It provides an array of tools and services that allow businesses to construct personalized large language models, fine-tune open-source AI solutions, and seamlessly embed generative AI capabilities into their current workflows. Additionally, Rabbitt.AI employs cutting-edge techniques such as Retrieval-Augmented Generation (RAG), reinforcement learning augmented by human feedback, and mixture-of-agents architectures to boost the accuracy and performance of models in line with specific business requirements. The platform also features interactive data annotation and smart labeling tools, which assist organizations in generating and managing the specialized datasets necessary for the effective training of their AI models. This all-encompassing strategy not only facilitates smoother implementation but also empowers companies to modify their AI solutions in response to evolving demands. Moreover, by allowing businesses to tailor their AI systems, Rabbitt.AI fosters greater innovation and adaptability in an increasingly dynamic market landscape.

What is NVIDIA NeMo Retriever?

NVIDIA NeMo Retriever comprises a collection of microservices tailored for the development of high-precision multimodal extraction, reranking, and embedding workflows, all while prioritizing data privacy. It facilitates quick and context-aware responses for various AI applications, including advanced retrieval-augmented generation (RAG) and agentic AI functions. Within the NVIDIA NeMo ecosystem and leveraging NVIDIA NIM, NeMo Retriever equips developers with the ability to effortlessly integrate these microservices, linking AI applications to vast enterprise datasets, no matter their storage location, and providing options for specific customizations to suit distinct requirements. This comprehensive toolkit offers vital elements for building data extraction and information retrieval pipelines, proficiently gathering both structured and unstructured data—ranging from text to charts and tables—transforming them into text formats, and efficiently eliminating duplicates. Additionally, the embedding NIM within NeMo Retriever processes these data segments into embeddings, storing them in a highly efficient vector database, which is optimized by NVIDIA cuVS, thus ensuring superior performance and indexing capabilities. As a result, the overall user experience and operational efficiency are significantly enhanced, enabling organizations to fully leverage their data assets while upholding a strong commitment to privacy and accuracy in their processes. By employing this innovative solution, businesses can navigate the complexities of data management with greater ease and effectiveness.

Media

Media

Integrations Supported

Integrations Supported

NVIDIA NIM
NVIDIA NeMo

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rabbitt.AI

Company Location

United Kingdom

Company Website

rabbitt.ai/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/nemo-retriever

Categories and Features

Categories and Features

Embedding Models

Not specified

Reranking Models

Not specified

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