RankLLM

RankLLM

Castorini
+
+

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About

LLMBear is a platform designed to help your website rank higher and gain more visibility in AI search results across leading large language models (LLMs) such as Claude Sonnet, OpenAI GPT, Grok, Gemini, and others. It offers advanced AI visibility strategies through a comprehensive toolkit that ensures your content remains prominent as AI search evolves. By formatting your content to align with structures preferred by LLMs, LLMBear significantly boosts visibility and rankings. It conducts multi-model testing to ensure consistent performance across various AI models, recognizing that each has different retrieval mechanisms and ranking factors. Additionally, LLMBear provides competitive analysis tools to evaluate how your content stacks up against competitors in AI search results, identifying opportunities for improvement.

About

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.

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

Content strategists interested in a tool to enhance their website's visibility in AI-driven search results by optimizing content structure and performance

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models

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

Free
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

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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

LLMBear
United States
llmbear.com

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

Alternatives

RankGPT

RankGPT

Weiwei Sun
ColBERT

ColBERT

Future Data Systems

Categories

Categories

Integrations

Gemini
Gemini Enterprise
OpenAI
ChatGPT
Claude
Claude Sonnet 3.5
DeepSeek
GPT-4
Google AI Overviews
Grok
Llama
Microsoft Copilot
Mistral AI
NVIDIA TensorRT
Perplexity
Python
Qwen
RankGPT

Integrations

Gemini
Gemini Enterprise
OpenAI
ChatGPT
Claude
Claude Sonnet 3.5
DeepSeek
GPT-4
Google AI Overviews
Grok
Llama
Microsoft Copilot
Mistral AI
NVIDIA TensorRT
Perplexity
Python
Qwen
RankGPT
Claim LLMBear and update features and information
Claim LLMBear and update features and information
Claim RankLLM and update features and information
Claim RankLLM and update features and information