Azure AI SearchMicrosoft
|
Nomic EmbedNomic
|
|||||
Related Products
|
||||||
About
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
|
About
Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.
|
|||||
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
Companies and individuals wanting a tool to perform advanced search and retrieval operations
|
Audience
Machine learning engineers and developers seeking a solution offering embedding models for multilingual text, multimodal content, and code applications
|
|||||
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
$0.11 per hour
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/ai-services/ai-search/
|
Company InformationNomic
United States
www.nomic.ai/embed
|
|||||
Alternatives |
Alternatives |
|||||
|
||||||
|
||||||
|
||||||
Categories |
Categories |
|||||
Integrations
Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Baseten
Cognee
Go
Java
JavaScript
|
Integrations
Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Baseten
Cognee
Go
Java
JavaScript
|
|||||
|
|