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Description

RankLLM is a comprehensive Python toolkit designed to enhance reproducibility in information retrieval research, particularly focusing on listwise reranking techniques. This toolkit provides an extensive array of rerankers, including pointwise models such as MonoT5, pairwise models like DuoT5, and listwise models that work seamlessly with platforms like vLLM, SGLang, or TensorRT-LLM. Furthermore, it features specialized variants like RankGPT and RankGemini, which are proprietary listwise rerankers tailored for enhanced performance. The toolkit comprises essential modules for retrieval, reranking, evaluation, and response analysis, thereby enabling streamlined end-to-end workflows. RankLLM's integration with Pyserini allows for efficient retrieval processes and ensures integrated evaluation for complex multi-stage pipelines. Additionally, it offers a dedicated module for in-depth analysis of input prompts and LLM responses, which mitigates reliability issues associated with LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Supporting a variety of backends, including SGLang and TensorRT-LLM, it ensures compatibility with an extensive range of LLMs, making it a versatile choice for researchers in the field. This flexibility allows researchers to experiment with different model configurations and methodologies, ultimately advancing the capabilities of information retrieval systems.

Description

Experience the quickest route to tailored recommendations and search functionalities. Boost user engagement, conversion rates, and overall revenue with a versatile system that adjusts in real time to meet your needs. Our platform assists users in locating exactly what they desire by highlighting products or content that align most closely with their interests. We also prioritize your business goals, ensuring that every aspect of your platform or marketplace is optimized equitably. At its core, Shaped features a four-stage, real-time recommendation engine equipped with the necessary data and machine-learning infrastructure to analyze your data and effectively cater to your discovery requirements on a large scale. Integration with your current data sources is seamless and quick, allowing for the ingestion and re-ranking of information in real time based on user behavior. You can also enhance large language models and neural ranking systems to achieve cutting-edge performance. Furthermore, our platform enables you to create and experiment with various ranking and retrieval components tailored to any specific application. This flexibility and capability ensure that users receive the most relevant results for their inquiries.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AccessOwl No 
Amazon Kinesis No 
Amazon Redshift No 
Amazon S3 No 
Amplitude No 
Gemini Yes 
Google Analytics No 
Google Cloud BigQuery No 
Google Cloud Firestore No 
Llama Yes 
Mistral AI Yes 
Mixpanel No 
NVIDIA TensorRT Yes 
OpenAI Yes 
PostgreSQL No 
Python Yes 
Qwen Yes 
RankGPT Yes 
Segment No 
Snowflake No 

Integrations

AccessOwl Yes 
Amazon Kinesis Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amplitude Yes 
Gemini No 
Google Analytics Yes 
Google Cloud BigQuery Yes 
Google Cloud Firestore Yes 
Llama No 
Mistral AI No 
Mixpanel Yes 
NVIDIA TensorRT No 
OpenAI No 
PostgreSQL Yes 
Python No 
Qwen No 
RankGPT No 
Segment Yes 
Snowflake Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Castorini

Country

Canada

Website

github.com/castorini/rank_llm/

Vendor Details

Company Name

Shaped

Country

United States

Website

www.shaped.ai/

Product Features

Product Features

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