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About

EmbeddingGemma 2 is an open, lightweight multimodal embedding model designed to map text, code, images, video, and audio into a shared embedding space for search, retrieval, classification, routing, and RAG applications. Built on the Gemma 4 architecture and released under the Apache 2.0 license, it has 740 million parameters and is optimized for on-device inference. Its modular design can use as little as 270M parameters for text-only workloads, with optional vision and audio encoders for full multimodal support. Matryoshka Representation Learning lets developers reduce output vectors from 768 dimensions to 512, 256, or 128, lowering storage and memory requirements for local vector databases. The model supports an 8K-token context window and can process up to 5.5 minutes of audio, 29 images, 58 video frames, or interleaved combinations on local hardware.

About

Empower businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps and cloud-native technologies. Multimodal data is everywhere: from simple tweets to photos on Instagram, short videos on TikTok, audio snippets, Zoom meeting records, PDFs with figures, 3D meshes in games. It is rich and powerful, but that power often hides behind different modalities and incompatible data formats. To enable high-level AI applications, one needs to solve search and create first. Neural Search uses AI to find what you need. A description of a sunrise can match a picture, or a photo of a rose can match a song. Generative AI/Creative AI uses AI to make what you need. It can create an image from a description, or write poems from a picture.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers and AI teams wanting to build private, efficient, on-device multimodal search, retrieval, RAG, and semantic indexing systems

Audience

Businesses in need of an open-source software for building multimodal applications on the cloud

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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:

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Reviews/Ratings

Overall 3.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • Jina AI offers a modular, cloud-native framework with excellent support for multimodal and multilingual embeddings. It enables developers to quickly build robust search applications and integrates seamlessly with modern workflows.
  • There was absolutely nothing redeeming in my dealings with this organization - this was, without question, the most inept team and the least ethical business I have ever encountered.

Cons

  • Enterprise documentation can be limited, and customer support could be more responsive.
  • No support team 0 empathy 0 understanding Narcissistic team

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/

Company Information

Jina AI
Founded: 2020
Germany
jina.ai/

Alternatives

Alternatives

Cohere

Cohere

Cohere AI
txtai

txtai

NeuML

Categories

Embedding Models Supported

Categories

Embedding Models Supported
Generative AI Supported
Machine Learning Supported
Neural Search Supported

Integrations

AgentKey Not Supported
Azure Marketplace Not Supported
ElectroNeek Not Supported
Jina Search Not Supported
LiteLLM Not Supported
Mimasa AI Not Supported
Pinecone Rerank v0 Not Supported
Sim Studio Not Supported
Weaviate Not Supported
Workers by Delos Not Supported

Integrations

AgentKey Supported
Azure Marketplace Supported
ElectroNeek Supported
Jina Search Supported
LiteLLM Supported
Mimasa AI Supported
Pinecone Rerank v0 Supported
Sim Studio Supported
Weaviate Supported
Workers by Delos Supported
Claim EmbeddingGemma 2 and update features and information
Claim EmbeddingGemma 2 and update features and information
Claim Jina AI and update features and information
Claim Jina AI and update features and information