RankGPT Description
RankGPT is a Python toolkit specifically crafted to delve into the application of generative Large Language Models (LLMs), such as ChatGPT and GPT-4, for the purpose of relevance ranking within Information Retrieval (IR). It presents innovative techniques, including instructional permutation generation and a sliding window strategy, which help LLMs to efficiently rerank documents. Supporting a diverse array of LLMs—including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 through LiteLLM—RankGPT offers comprehensive modules for retrieval, reranking, evaluation, and response analysis, thereby streamlining end-to-end processes. Additionally, the toolkit features a module dedicated to the in-depth analysis of input prompts and LLM outputs, effectively tackling reliability issues associated with LLM APIs and the non-deterministic nature of Mixture-of-Experts (MoE) models. Furthermore, it is designed to work with multiple backends, such as SGLang and TensorRT-LLM, making it compatible with a broad spectrum of LLMs. Among its resources, RankGPT's Model Zoo showcases various models, including LiT5 and MonoT5, which are conveniently hosted on Hugging Face, allowing users to easily access and implement them in their projects. Overall, RankGPT serves as a versatile and powerful toolkit for researchers and developers aiming to enhance the effectiveness of information retrieval systems through advanced LLM techniques.
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RankLLM
RankLLM is a comprehensive Python toolkit designed to enhance reproducibility in information retrieval research, particularly focusing on listwise reranking techniques. This toolkit provides an extensive array of rerankers, including pointwise models such as MonoT5, pairwise models like DuoT5, and listwise models that work seamlessly with platforms like vLLM, SGLang, or TensorRT-LLM. Furthermore, it features specialized variants like RankGPT and RankGemini, which are proprietary listwise rerankers tailored for enhanced performance. The toolkit comprises essential modules for retrieval, reranking, evaluation, and response analysis, thereby enabling streamlined end-to-end workflows. RankLLM's integration with Pyserini allows for efficient retrieval processes and ensures integrated evaluation for complex multi-stage pipelines. Additionally, it offers a dedicated module for in-depth analysis of input prompts and LLM responses, which mitigates reliability issues associated with LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Supporting a variety of backends, including SGLang and TensorRT-LLM, it ensures compatibility with an extensive range of LLMs, making it a versatile choice for researchers in the field. This flexibility allows researchers to experiment with different model configurations and methodologies, ultimately advancing the capabilities of information retrieval systems.
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Diploria AI
Diploria AI serves as a platform designed to enhance brand visibility by monitoring, assessing, and refining the way brands are referenced and endorsed by various AI systems, including ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, and more, allowing you to compare your performance against rivals to secure a higher number of AI endorsements.
The platform tracks brand mentions by processing queries through live APIs from prominent AI engines and Google AI Mode/Overviews, capturing every authentic response according to a personalized schedule.
It provides an analysis through a Visibility Score ranging from 0 to 100, which evaluates the frequency of your brand's appearance in AI-generated answers while factoring in different prompts, engines, and geographical locations, as well as enabling sentiment tracking and competitor benchmarking.
Additionally, it offers an AI Readiness Scan that rates any given URL on a scale of 100 across five critical areas, presenting users with a prioritized action list for improvement.
To further benefit users, it integrates with Google Analytics 4, allowing for the monitoring of genuine AI referral traffic originating from ChatGPT, Perplexity, Claude, Gemini, and other channels.
Designed for both brands and agencies, this platform facilitates client management, report exporting, and team collaboration with role-specific access, ensuring a comprehensive approach to brand enhancement, and it even offers a free plan without requiring a credit card.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
Weiwei Sun
Headquarters:
United States
Website:
github.com/sunnweiwei/RankGPT
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
RankGPT Features and Options
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