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Description
RankGPT is a Python toolkit specifically crafted to delve into the application of generative Large Language Models (LLMs), such as ChatGPT and GPT-4, for the purpose of relevance ranking within Information Retrieval (IR). It presents innovative techniques, including instructional permutation generation and a sliding window strategy, which help LLMs to efficiently rerank documents. Supporting a diverse array of LLMs—including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 through LiteLLM—RankGPT offers comprehensive modules for retrieval, reranking, evaluation, and response analysis, thereby streamlining end-to-end processes. Additionally, the toolkit features a module dedicated to the in-depth analysis of input prompts and LLM outputs, effectively tackling reliability issues associated with LLM APIs and the non-deterministic nature of Mixture-of-Experts (MoE) models. Furthermore, it is designed to work with multiple backends, such as SGLang and TensorRT-LLM, making it compatible with a broad spectrum of LLMs. Among its resources, RankGPT's Model Zoo showcases various models, including LiT5 and MonoT5, which are conveniently hosted on Hugging Face, allowing users to easily access and implement them in their projects. Overall, RankGPT serves as a versatile and powerful toolkit for researchers and developers aiming to enhance the effectiveness of information retrieval systems through advanced LLM techniques.
Description
ZeroEntropy is an advanced retrieval and search technology platform designed for modern AI applications. It solves the limitations of traditional search by combining state-of-the-art rerankers with powerful embeddings. This approach allows systems to understand semantic meaning and subtle relationships in data. ZeroEntropy delivers human-level accuracy while maintaining enterprise-grade performance and reliability. Its models are benchmarked to outperform many leading rerankers in both speed and relevance. Developers can deploy ZeroEntropy in minutes using a straightforward API. The platform is built for real-world use cases like customer support, legal research, healthcare data retrieval, and infrastructure tools. Low latency and reduced costs make it suitable for large-scale production workloads. Hybrid retrieval ensures better results across diverse datasets. ZeroEntropy helps teams build smarter, faster search experiences with confidence.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
ChatGPT
Yes
Claude
Yes
Cohere
Yes
GPT-3.5
Yes
GPT-4
Yes
Hugging Face
Yes
LiteLLM
Yes
Llama 2
Yes
NVIDIA TensorRT
Yes
Python
Yes
Integrations
ChatGPT
No
Claude
No
Cohere
No
GPT-3.5
No
GPT-4
No
Hugging Face
No
LiteLLM
No
Llama 2
No
NVIDIA TensorRT
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
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)
Yes
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
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Weiwei Sun
Country
United States
Website
github.com/sunnweiwei/RankGPT
Vendor Details
Company Name
ZeroEntropy
Founded
2024
Country
United States
Website
www.zeroentropy.dev