RankLLMCastorini
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Related Products
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
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Audience
Engineering teams and startups wanting a tool for building AI-code-generation products and coding agents
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$0.80 per million tokens
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCastorini
Canada
github.com/castorini/rank_llm/
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Company InformationRelace
United States
www.relace.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT
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Integrations
Gemini
Gemini Enterprise
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Python
Qwen
RankGPT
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