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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

Rinalogy Classification API is a scalable machine learning service that can easily integrate with your application and run in your own environment. Unlike cloud machine learning APIs that run in an environment out of your control and require you to transfer all of your data, Rinalogy Classification API can be deployed in your IT infrastructure, close to your data and behind your firewall. Rinalogy Classification API performs Exhaustive Sequential Classification by applying models to all documents in the collection. Models are saved and can be improved with more training data or used to predict new documents later. Its scalable cluster deployment allows you to adjust the number of workers depending on your workload. Rinalogy API can be used to add text classification, search, and recommendation capabilities to a client application.

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

Companies looking for a natural language processing platform

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

RINA Systems
United States
www.rinasystems.com/product/rinalogy-api.html

Alternatives

Alternatives

DeepNLP

DeepNLP

SparkCognition
SentioAI

SentioAI

RINA Systems
txtai

txtai

NeuML
ML.NET

ML.NET

Microsoft

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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