Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    743 Ratings
    Company Website
  • LogicalDOC Reviews & Ratings
    122 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    79 Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    740 Ratings
    Company Website
  • LTX Reviews & Ratings
    142 Ratings
    Company Website
  • Humanly Reviews & Ratings
    83 Ratings
    Company Website
  • Dynamo Software Reviews & Ratings
    62 Ratings
    Company Website
  • dbt Reviews & Ratings
    203 Ratings
    Company Website
  • Docket Reviews & Ratings
    56 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website

What is MonoQwen-Vision?

MonoQwen2-VL-v0.1 is the first visual document reranker designed to enhance the quality of visual documents retrieved in Retrieval-Augmented Generation (RAG) systems. Traditional RAG techniques often involve converting documents into text using Optical Character Recognition (OCR), a process that can be time-consuming and frequently results in the loss of essential information, especially regarding non-text elements like charts and tables. To address these issues, MonoQwen2-VL-v0.1 leverages Visual Language Models (VLMs) that can directly analyze images, thus eliminating the need for OCR and preserving the integrity of visual content. The reranking procedure occurs in two phases: it initially uses separate encoding to generate a set of candidate documents, followed by a cross-encoding model that reorganizes these candidates based on their relevance to the specified query. By applying Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 not only delivers outstanding performance but also minimizes memory consumption. This groundbreaking method represents a major breakthrough in the management of visual data within RAG systems, leading to more efficient strategies for information retrieval. With the growing demand for effective visual information processing, MonoQwen2-VL-v0.1 sets a new standard for future developments in this field.

What is Azure AI Search?

Deliver outstanding results through a sophisticated vector database tailored for advanced retrieval augmented generation (RAG) and modern search techniques. Focus on substantial expansion with an enterprise-class vector database that incorporates robust security protocols, adherence to compliance guidelines, and ethical AI practices. Elevate your applications by utilizing cutting-edge retrieval strategies backed by thorough research and demonstrated client success stories. Seamlessly initiate your generative AI application with easy integrations across multiple platforms and data sources, accommodating various AI models and frameworks. Enable the automatic import of data from a wide range of Azure services and third-party solutions. Refine the management of vector data with integrated workflows for extraction, chunking, enrichment, and vectorization, ensuring a fluid process. Provide support for multivector functionalities, hybrid methodologies, multilingual capabilities, and metadata filtering options. Move beyond simple vector searching by integrating keyword match scoring, reranking features, geospatial search capabilities, and autocomplete functions, thereby creating a more thorough search experience. This comprehensive system not only boosts retrieval effectiveness but also equips users with enhanced tools to extract deeper insights from their data, fostering a more informed decision-making process. Furthermore, the architecture encourages continual innovation, allowing organizations to stay ahead in an increasingly competitive landscape.

Media

Media

Integrations Supported

Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Cognee
Microsoft Azure
Microsoft Copilot Studio
Microsoft Intelligent Data Platform
Titan CMS

Integrations Supported

Azure AI Foundry Agent Service
Azure AI Services
Azure Machine Learning
Azure Marketplace
Azure OpenAI Service
Cognee
Microsoft Azure
Microsoft Copilot Studio
Microsoft Intelligent Data Platform
Titan CMS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.11 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LightOn

Date Founded

2016

Company Location

France

Company Website

www.lighton.ai/lighton-blogs/monoqwen-vision

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-search/

Categories and Features

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Popular Alternatives

Popular Alternatives