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

The fastest path to relevant recommendations and search. Increase engagement, conversion, and revenue with a configurable system that adapts in real time. We help your users find what they're looking for by surfacing the products or content that are most relevant to them. We do this whilst taking into account your business objectives to ensure all sides of your platform or marketplace are being optimized fairly. Under the hood, Shaped is a real-time, 4-stage, recommendation system containing all the data and machine-learning infrastructure needed to understand your data and serve your discovery use-case at scale. Connect and deploy rapidly with direct integration to your existing data sources. Ingest and re-rank in real-time using behavioral signals. Fine-tune LLMs and neural ranking models for state-of-the-art performance. Build and experiment with ranking and retrieval components for any use case.

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

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

Audience

Businesses seeking a platform for recommendations, search and discovery

Support

Phone Support Not 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 Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not 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 Not Supported
In Person Not Supported

Training

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

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Company Information

Shaped
United States
www.shaped.ai/

Alternatives

RankGPT

RankGPT

Weiwei Sun

Alternatives

ColBERT

ColBERT

Future Data Systems
Utelly

Utelly

Synamedia Utelly

Categories

Reranking Models Supported

Categories

Integrations

AccessOwl Not Supported
Amazon Kinesis Not Supported
Amazon Redshift Not Supported
Amazon S3 Not Supported
Amplitude Not Supported
Google Analytics Not Supported
Google Cloud BigQuery Not Supported
Google Cloud Firestore Not Supported
Llama Supported
Mistral AI Supported
Mixpanel Not Supported
MySQL Not Supported
NVIDIA TensorRT Supported
OpenAI Supported
PostgreSQL Not Supported
Python Supported
Qwen Supported
RankGPT Supported
Segment Not Supported
Snowflake Not Supported

Integrations

AccessOwl Supported
Amazon Kinesis Supported
Amazon Redshift Supported
Amazon S3 Supported
Amplitude Supported
Google Analytics Supported
Google Cloud BigQuery Supported
Google Cloud Firestore Supported
Llama Not Supported
Mistral AI Not Supported
Mixpanel Supported
MySQL Supported
NVIDIA TensorRT Not Supported
OpenAI Not Supported
PostgreSQL Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported
Segment Supported
Snowflake Supported
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Claim RankLLM and update features and information
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