Audience
AI researchers needing a tool to leverage LLMs for advanced document reranking in information retrieval systems
About RankGPT
RankGPT is a Python toolkit designed to explore the use of generative Large Language Models (LLMs) like ChatGPT and GPT-4 for relevance ranking in Information Retrieval (IR). It introduces methods such as instructional permutation generation and a sliding window strategy to enable LLMs to effectively rerank documents. It supports various LLMs, including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM. RankGPT provides modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. It includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs. RankGPT's Model Zoo includes models like LiT5 and MonoT5, hosted on Hugging Face.
Other Popular Alternatives & Related Software
Azure AI Search
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.
Learn more
Amazon Personalize
Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Amazon Personalize is a fully managed machine learning service that goes beyond rigid static rule based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail and media and entertainment. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models.
Learn more
Diploria AI
Diploria AI is an AI visibility platform that tracks, analyzes and optimizes how brands are mentioned and recommended by ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot and other AI engines, benchmarking you against competitors to win more AI recommendations.
Track - Runs prompts through live APIs on 12 major AI engines incl. Google AI Mode/Overviews, storing every real response, on a schedule you choose.
Analyze - A 0-100 Visibility Score benchmarks how often your brand appears in AI answers, weighted across prompts, engines and locations. Track sentiment, benchmark competitors, simulate markets.
Optimize - The AI Readiness Scan audits any URL out of 100 across five pillars, delivering a prioritized checklist.
Connect Google Analytics 4 to see real AI referral traffic from ChatGPT, Perplexity, Claude, Gemini and other sources.
Built for brands and agencies: manage client brands, export reports, invite your team with role-based access. Free plan available/no card req.
Learn more
RankLLM
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.
Learn more
Pricing
Starting Price:
Free
Free Version:
Free Version available.
Company Information
Weiwei Sun
United States
github.com/sunnweiwei/RankGPT
Videos and Screen Captures
Other Useful Business Software
Paessler - Monitor Your Whole Network in Minutes
Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
