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About

MonoQwen2-VL-v0.1 is the first visual document reranker designed to enhance the quality of retrieved visual documents in Retrieval-Augmented Generation (RAG) pipelines. Traditional RAG approaches rely on converting documents into text using Optical Character Recognition (OCR), which can be time-consuming and may result in loss of information, especially for non-textual elements like graphs and tables. MonoQwen2-VL-v0.1 addresses these limitations by leveraging Visual Language Models (VLMs) that process images directly, eliminating the need for OCR and preserving the integrity of visual content. This reranker operates in a two-stage pipeline, initially, it uses separate encoding to generate a pool of candidate documents, followed by a cross-encoding model that reranks these candidates based on their relevance to the query. By training a Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 achieves high performance without significant memory overhead.

About

Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.

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 working with visually rich documents requiring a solution to enhance retrieval accuracy and efficiency in OCR-free RAG systems

Audience

AI developers looking for a tool to enhance the relevance and accuracy of search results in enterprise applications, particularly those leveraging RAG systems

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

No information available.
Free Version
Free Trial

Pricing

$25 per month
Free Version
Free Trial

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:

Review this Software

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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

LightOn
Founded: 2016
France
www.lighton.ai/lighton-blogs/monoqwen-vision

Company Information

Pinecone
Founded: 2019
United States
www.pinecone.io/blog/pinecone-rerank-v0-announcement/

Alternatives

RankLLM

RankLLM

Castorini

Alternatives

RankGPT

RankGPT

Weiwei Sun

Categories

Categories

Integrations

Amazon Bedrock
Anyscale
Confluent
Databricks Data Intelligence Platform
Datavolo
Estuary Flow
Fleak
Flowise
GitHub Copilot
Google Cloud Platform
Haystack
Hugging Face
Jina AI
Llama
Microsoft Azure
OpenAI
Pinecone
Pulumi
Snowflake
TwelveLabs

Integrations

Amazon Bedrock
Anyscale
Confluent
Databricks Data Intelligence Platform
Datavolo
Estuary Flow
Fleak
Flowise
GitHub Copilot
Google Cloud Platform
Haystack
Hugging Face
Jina AI
Llama
Microsoft Azure
OpenAI
Pinecone
Pulumi
Snowflake
TwelveLabs
Claim MonoQwen-Vision and update features and information
Claim MonoQwen-Vision and update features and information
Claim Pinecone Rerank v0 and update features and information
Claim Pinecone Rerank v0 and update features and information