Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
EmbeddingGemma is a versatile multilingual text embedding model with 308 million parameters, designed to be lightweight yet effective, allowing it to operate seamlessly on common devices like smartphones, laptops, and tablets. This model, based on the Gemma 3 architecture, is capable of supporting more than 100 languages and can handle up to 2,000 input tokens, utilizing Matryoshka Representation Learning (MRL) for customizable embedding sizes of 768, 512, 256, or 128 dimensions, which balances speed, storage, and accuracy. With its GPU and EdgeTPU-accelerated capabilities, it can generate embeddings in a matter of milliseconds—taking under 15 ms for 256 tokens on EdgeTPU—while its quantization-aware training ensures that memory usage remains below 200 MB without sacrificing quality. Such characteristics make it especially suitable for immediate, on-device applications, including semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection. Whether used for personal file searches, mobile chatbot functionality, or specialized applications, its design prioritizes user privacy and efficiency. Consequently, EmbeddingGemma stands out as an optimal solution for a variety of real-time text processing needs.
Description
Mixedbread is an advanced AI search engine that simplifies the creation of robust AI search and Retrieval-Augmented Generation (RAG) applications for users. It delivers a comprehensive AI search solution, featuring vector storage, models for embedding and reranking, as well as tools for document parsing. With Mixedbread, users can effortlessly convert unstructured data into smart search functionalities that enhance AI agents, chatbots, and knowledge management systems, all while minimizing complexity. The platform seamlessly integrates with popular services such as Google Drive, SharePoint, Notion, and Slack. Its vector storage capabilities allow users to establish operational search engines in just minutes and support a diverse range of over 100 languages. Mixedbread's embedding and reranking models have garnered more than 50 million downloads, demonstrating superior performance to OpenAI in both semantic search and RAG applications, all while being open-source and economically viable. Additionally, the document parser efficiently extracts text, tables, and layouts from a variety of formats, including PDFs and images, yielding clean, AI-compatible content that requires no manual intervention. This makes Mixedbread an ideal choice for those seeking to harness the power of AI in their search applications.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Baseten
No
Gemma 3
Yes
Gemma 4
Yes
Google Drive
No
Microsoft SharePoint
No
Mimasa AI
Yes
Notion
No
Slack
No
Integrations
Baseten
Yes
Gemma 3
No
Gemma 4
No
Google Drive
Yes
Microsoft SharePoint
Yes
Mimasa AI
No
Notion
Yes
Slack
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/gemma/docs/embeddinggemma
Vendor Details
Company Name
Mixedbread
Founded
2023
Country
United States
Website
www.mixedbread.com