RankLLM

RankLLM

Castorini
+
+

Related Products

  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • HubSpot AEO
    151 Ratings
    Visit Website
  • Digital WarRoom
    55 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • Striven
    234 Ratings
    Visit Website
  • TE Recruit
    639 Ratings
    Visit Website
  • Denodo
    388 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • InfoBox
    47 Ratings
    Visit Website

About

Cohere Rerank is a powerful semantic search tool that refines enterprise search and retrieval by precisely ranking results. It processes a query and a list of documents, ordering them from most to least semantically relevant, and assigns a relevance score between 0 and 1 to each document. This ensures that only the most pertinent documents are passed into your RAG pipeline and agentic workflows, reducing token use, minimizing latency, and boosting accuracy. The latest model, Rerank v3.5, supports English and multilingual documents, as well as semi-structured data like JSON, with a context length of 4096 tokens. Long documents are automatically chunked, and the highest relevance score among chunks is used for ranking. Rerank can be integrated into existing keyword or semantic search systems with minimal code changes, enhancing the relevance of search results. It is accessible via Cohere's API and is compatible with various platforms, including Amazon Bedrock and SageMaker.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Enterprise developers and data scientists interested in a tool to enhance the accuracy and efficiency of their search and retrieval systems by integrating advanced semantic ranking capabilities

Audience

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

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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

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 Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cohere
Founded: 2019
Canada
cohere.com/rerank

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

Alternatives

RankGPT

RankGPT

Weiwei Sun
ColBERT

ColBERT

Future Data Systems
RankGPT

RankGPT

Weiwei Sun

Categories

Reranking Models Supported

Categories

Reranking Models Supported

Integrations

Amazon Bedrock Supported
Amazon SageMaker Supported
Cohere Supported
Gemini Not Supported
Gemini Enterprise Not Supported
Google Docs Supported
Google Sheets Supported
Google Slides Supported
JSON Supported
Llama Not Supported
Microsoft Excel Supported
Mistral AI Not Supported
NVIDIA TensorRT Not Supported
OpenAI Not Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported
Slack Supported

Integrations

Amazon Bedrock Not Supported
Amazon SageMaker Not Supported
Cohere Not Supported
Gemini Supported
Gemini Enterprise Supported
Google Docs Not Supported
Google Sheets Not Supported
Google Slides Not Supported
JSON Not Supported
Llama Supported
Microsoft Excel Not Supported
Mistral AI Supported
NVIDIA TensorRT Supported
OpenAI Supported
Python Supported
Qwen Supported
RankGPT Supported
Slack Not Supported
Claim Cohere Rerank and update features and information
Claim Cohere Rerank and update features and information
Claim RankLLM and update features and information
Claim RankLLM and update features and information