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What is RankGPT?

RankGPT is a Python toolkit meticulously designed to explore the utilization of generative Large Language Models (LLMs), such as ChatGPT and GPT-4, to enhance relevance ranking in Information Retrieval (IR) systems. It introduces cutting-edge methods, including instructional permutation generation and a sliding window approach, which enable LLMs to efficiently reorder documents. The toolkit supports a variety of LLMs—including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM—providing extensive modules for retrieval, reranking, evaluation, and response analysis, which streamline the entire process from start to finish. Additionally, it includes a specialized module for in-depth examination of input prompts and outputs from LLMs, addressing reliability challenges related to LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Moreover, RankGPT is engineered to function with multiple backends, such as SGLang and TensorRT-LLM, ensuring compatibility with a wide range of LLMs. Among its impressive features, the Model Zoo within RankGPT displays various models, including LiT5 and MonoT5, conveniently hosted on Hugging Face, facilitating easy access and implementation for users in their projects. This toolkit not only empowers researchers and developers but also opens up new avenues for improving the efficiency of information retrieval systems through state-of-the-art LLM techniques. Ultimately, RankGPT stands out as an essential resource for anyone looking to push the boundaries of what is possible in the realm of information retrieval.

What is Mixedbread?

Mixedbread is a cutting-edge AI search engine designed to streamline the development of powerful AI search and Retrieval-Augmented Generation (RAG) applications for users. It provides a holistic AI search solution, encompassing vector storage, embedding and reranking models, as well as document parsing tools. By utilizing Mixedbread, users can easily transform unstructured data into intelligent search features that boost AI agents, chatbots, and knowledge management systems while keeping the process simple. The platform integrates smoothly with widely-used services like Google Drive, SharePoint, Notion, and Slack. Its vector storage capabilities enable users to set up operational search engines within minutes and accommodate a broad spectrum of over 100 languages. Mixedbread's embedding and reranking models have achieved over 50 million downloads, showcasing their exceptional performance compared to OpenAI in both semantic search and RAG applications, all while being open-source and cost-effective. Furthermore, the document parser adeptly extracts text, tables, and layouts from various formats like PDFs and images, producing clean, AI-ready content without the need for manual work. This efficiency and ease of use make Mixedbread the perfect solution for anyone aiming to leverage AI in their search applications, ensuring a seamless experience for users.

Media

Media

Integrations Supported

ChatGPT
Claude
Cohere
GPT-3.5
GPT-4
Hugging Face
LiteLLM
Llama 2
NVIDIA TensorRT
Python
RankLLM

Integrations Supported

Baseten
Google Drive
Microsoft SharePoint
Notion
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Weiwei Sun

Company Location

United States

Company Website

github.com/sunnweiwei/RankGPT

Company Facts

Organization Name

Mixedbread

Date Founded

2023

Company Location

United States

Company Website

www.mixedbread.com

Categories and Features

Reranking Models

Not specified

Categories and Features

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