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What is Shaped?

Discover the fastest pathway to personalized suggestions and search capabilities that enhance user engagement, boost conversion rates, and increase overall revenue through a dynamic system that adapts instantly to your requirements. Our platform is designed to guide users in finding precisely what they seek by showcasing products or content that closely match their preferences. In addition, we focus on your business objectives, making sure that every element of your platform or marketplace is optimally aligned. At its foundation, Shaped includes a sophisticated four-stage recommendation engine that utilizes advanced data and machine-learning technology to analyze your information and effectively meet your discovery needs at scale. The integration process with your existing data sources is both efficient and rapid, facilitating the real-time ingestion and re-ranking of information based on user interactions. You also have the opportunity to refine large language models and neural ranking systems to attain top-tier performance. Moreover, our platform allows you to design and test various ranking and retrieval mechanisms tailored to specific applications, ensuring users receive the most pertinent results for their queries. This adaptability guarantees a user experience that is not only relevant but also consistently engaging.

What is RankGPT?

RankGPT is a Python toolkit meticulously designed to explore the utilization of generative Large Language Models (LLMs), such as ChatGPT and GPT-4, to enhance relevance ranking in Information Retrieval (IR) systems. It introduces cutting-edge methods, including instructional permutation generation and a sliding window approach, which enable LLMs to efficiently reorder documents. The toolkit supports a variety of LLMs—including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM—providing extensive modules for retrieval, reranking, evaluation, and response analysis, which streamline the entire process from start to finish. Additionally, it includes a specialized module for in-depth examination of input prompts and outputs from LLMs, addressing reliability challenges related to LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Moreover, RankGPT is engineered to function with multiple backends, such as SGLang and TensorRT-LLM, ensuring compatibility with a wide range of LLMs. Among its impressive features, the Model Zoo within RankGPT displays various models, including LiT5 and MonoT5, conveniently hosted on Hugging Face, facilitating easy access and implementation for users in their projects. This toolkit not only empowers researchers and developers but also opens up new avenues for improving the efficiency of information retrieval systems through state-of-the-art LLM techniques. Ultimately, RankGPT stands out as an essential resource for anyone looking to push the boundaries of what is possible in the realm of information retrieval.

Media

Media

Integrations Supported

AccessOwl
Amazon Kinesis
Amazon Redshift
Amplitude
Google Analytics
Google Cloud BigQuery
Google Cloud Firestore
Mixpanel
MySQL
PostgreSQL
Snowflake

Integrations Supported

ChatGPT
Claude
Cohere
GPT-3.5
GPT-4
Hugging Face
LiteLLM
Llama 2
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Shaped

Company Location

United States

Company Website

www.shaped.ai/

Company Facts

Organization Name

Weiwei Sun

Company Location

United States

Company Website

github.com/sunnweiwei/RankGPT

Categories and Features

Recommendation APIs

Not specified

Categories and Features

Reranking Models

Not specified

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