RankLLM

RankLLM

Castorini
+
+

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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.

About

Relace offers a suite of specialized AI models purpose-built for coding workflows. Its retrieval, embedding, code-reranker, and “Instant Apply” models are designed to integrate into existing development environments and accelerate code production, merging changes at speeds over 2,500 tokens per second and handling large codebases (million-line scale) in under 2 seconds. The platform supports hosted API access and self-hosted or VPC-isolated deployments, so teams have full control of data and infrastructure. Its code-oriented embedding and reranking models identify the most relevant files for a given developer query and filter out irrelevant context, reducing prompt bloat and improving accuracy. The Instant Apply model merges AI-generated snippets into existing codebases with high reliability and low error rate, streamlining pull-request reviews, CI/CD workflows, and automated fixes.

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

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

Audience

Engineering teams and startups wanting a tool for building AI-code-generation products and coding agents

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

Free
Free Version
Free Trial

Pricing

$0.80 per million tokens
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

This software hasn't been reviewed yet. Be the first to provide a review:

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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

Castorini
Canada
github.com/castorini/rank_llm/

Company Information

Relace
United States
www.relace.ai/

Alternatives

RankGPT

RankGPT

Weiwei Sun

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Mercury Coder

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Categories

Categories

Integrations

Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT

Integrations

Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT
Claim RankLLM and update features and information
Claim RankLLM and update features and information
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