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What is Neum AI?

No company wants to engage with customers using information that is no longer relevant. Neum AI empowers businesses to keep their AI solutions informed with precise and up-to-date context. Thanks to its pre-built connectors compatible with various data sources, including Amazon S3 and Azure Blob Storage, as well as vector databases like Pinecone and Weaviate, you can set up your data pipelines in a matter of minutes. You can further enhance your data processing by transforming and embedding it through integrated connectors for popular embedding models such as OpenAI and Replicate, in addition to leveraging serverless functions like Azure Functions and AWS Lambda. Additionally, implementing role-based access controls ensures that only authorized users can access particular vectors, thereby securing sensitive information. Moreover, you have the option to integrate your own embedding models, vector databases, and data sources for a tailored experience. It is also beneficial to explore how Neum AI can be deployed within your own cloud infrastructure, offering you greater customization and control. Ultimately, with these advanced features at your disposal, you can significantly elevate your AI applications to facilitate outstanding customer interactions and drive business success.

What is EmbeddingGemma 2?

EmbeddingGemma 2 is a highly adaptable and lightweight multimodal embedding model that enables the integration of text, code, images, video, and audio into a single cohesive embedding space, serving a variety of functions such as search, retrieval, classification, routing, and RAG. Built on the Gemma 4 framework and licensed under Apache 2.0, it boasts an impressive 740 million parameters while being optimized for efficient operation on devices. The model's architecture is designed to allow for the use of only 270 million parameters when focusing on text-related tasks, and it is also equipped with additional encoders for vision and audio to provide a full range of multimodal functionalities. Moreover, the groundbreaking Matryoshka Representation Learning technique empowers developers to condense output vectors from 768 dimensions to smaller sizes of 512, 256, or even 128 dimensions, significantly minimizing the storage and memory requirements for local vector databases. Additionally, with an 8K-token context window, the model can seamlessly process up to 5.5 minutes of audio, 29 images, 58 video frames, or various combinations of these inputs on local hardware without a hitch. This level of versatility and efficiency makes it an invaluable asset for developers looking to enrich their applications with sophisticated multimedia capabilities. Ultimately, the potential applications of EmbeddingGemma 2 are vast, paving the way for innovative advancements in the field of multimodal technology.

Media

Media

Integrations Supported

AWS Lambda
Amazon S3
Azure Blob Storage
Azure Functions
ChatGPT
GPT-3
GPT-3.5
GPT-4
OpenAI
Replicate

Integrations Supported

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

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Neum AI

Company Website

www.neum.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/

Categories and Features

AI Development

Not specified

Embedding Models

Not specified

Categories and Features

Embedding Models

Not specified

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Popular Alternatives

No Alternatives
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