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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 Jina Reranker?

Jina Reranker v2 emerges as a sophisticated reranking solution specifically designed for Agentic Retrieval-Augmented Generation (RAG) frameworks. By utilizing advanced semantic understanding, it enhances the relevance of search outcomes and the precision of RAG systems via efficient result reordering. This cutting-edge tool supports over 100 languages, rendering it a flexible choice for multilingual retrieval tasks regardless of the query's language. It excels particularly in scenarios involving function-calling and code searches, making it invaluable for applications that require precise retrieval of function signatures and code snippets. Moreover, Jina Reranker v2 showcases outstanding capabilities in ranking structured data, such as tables, by effectively interpreting the intent behind queries directed at structured databases like MySQL or MongoDB. Boasting an impressive sixfold increase in processing speed compared to its predecessor, it guarantees ultra-fast inference, allowing for document processing in just milliseconds. Available through Jina's Reranker API, this model integrates effortlessly into existing applications and is compatible with platforms like Langchain and LlamaIndex, thus equipping developers with a potent tool to elevate their retrieval capabilities. Additionally, this versatility empowers users to streamline their workflows while leveraging state-of-the-art technology for optimal results.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Claude
Cohere
GPT-3.5
GPT-4
Google Cloud Platform
Hugging Face
LangChain
LiteLLM
Llama 2
LlamaIndex
Microsoft Azure
MongoDB
MySQL
NVIDIA TensorRT
Python
RankLLM

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Claude
Cohere
GPT-3.5
GPT-4
Google Cloud Platform
Hugging Face
LangChain
LiteLLM
Llama 2
LlamaIndex
Microsoft Azure
MongoDB
MySQL
NVIDIA TensorRT
Python
RankLLM

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Weiwei Sun

Company Location

United States

Company Website

github.com/sunnweiwei/RankGPT

Company Facts

Organization Name

Jina

Date Founded

2020

Company Location

United States

Company Website

jina.ai/reranker/

Categories and Features

Categories and Features

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