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What is Nomic Embed?

Nomic Embed is an extensive suite of open-source, high-performance embedding models designed for various applications, including multilingual text handling, multimodal content integration, and code analysis. Among these models, Nomic Embed Text v2 utilizes a Mixture-of-Experts (MoE) architecture that adeptly manages over 100 languages with an impressive 305 million active parameters, providing rapid inference capabilities. In contrast, Nomic Embed Text v1.5 offers adaptable embedding dimensions between 64 and 768 through Matryoshka Representation Learning, enabling developers to balance performance and storage needs effectively. For multimodal applications, Nomic Embed Vision v1.5 collaborates with its text models to form a unified latent space for both text and image data, significantly improving the ability to conduct seamless multimodal searches. Additionally, Nomic Embed Code demonstrates superior embedding efficiency across multiple programming languages, proving to be an essential asset for developers. This adaptable suite of models not only enhances workflow efficiency but also inspires developers to approach a wide range of challenges with creativity and innovation, thereby broadening the scope of what they can achieve in their projects.

What is BERT?

BERT stands out as a crucial language model that employs a method for pre-training language representations. This initial pre-training stage encompasses extensive exposure to large text corpora, such as Wikipedia and other diverse sources. Once this foundational training is complete, the knowledge acquired can be applied to a wide array of Natural Language Processing (NLP) tasks, including question answering, sentiment analysis, and more. Utilizing BERT in conjunction with AI Platform Training enables the development of various NLP models in a highly efficient manner, often taking as little as thirty minutes. This efficiency and versatility render BERT an invaluable resource for swiftly responding to a multitude of language processing needs. Its adaptability allows developers to explore new NLP solutions in a fraction of the time traditionally required.

Media

Media

Integrations Supported

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Baseten
Go
Gopher
Haystack
Java
JavaScript
PHP
PostgresML
Python
Ruby
Spark NLP

Integrations Supported

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Baseten
Go
Gopher
Haystack
Java
JavaScript
PHP
PostgresML
Python
Ruby
Spark NLP

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Nomic

Company Location

United States

Company Website

www.nomic.ai/embed

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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