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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

Voyage AI is an advanced AI platform focused on improving search and retrieval performance for unstructured data. It delivers high-accuracy embedding models and rerankers that significantly enhance RAG pipelines. The platform supports multiple model types, including general-purpose, industry-specific, and fully customized company models. These models are engineered to retrieve the most relevant information while keeping inference and storage costs low. Voyage AI achieves this through low-dimensional vectors that reduce vector database overhead. Its models also offer fast inference speeds without sacrificing accuracy. Long-context capabilities allow applications to process large documents more effectively. Voyage AI is designed to plug seamlessly into existing AI stacks, working with any vector database or LLM. Flexible deployment options include API access, major cloud providers, and custom deployments. As a result, Voyage AI helps teams build more reliable, scalable, and cost-efficient AI systems.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

LiteLLM Yes 
ChatGPT Yes 
Claude Yes 
Cohere Yes 
GPT-3.5 Yes 
GPT-4 Yes 
Hugging Face Yes 
Llama 2 Yes 
NVIDIA TensorRT Yes 
Pinecone Rerank v0 No 
Python Yes 
RankLLM Yes 
Snowflake No 
Snowflake Cortex AI No 
Weaviate No 
voyage-3-large No 
voyage-4-large No 

Integrations

LiteLLM Yes 
ChatGPT No 
Claude No 
Cohere No 
GPT-3.5 No 
GPT-4 No 
Hugging Face No 
Llama 2 No 
NVIDIA TensorRT No 
Pinecone Rerank v0 Yes 
Python No 
RankLLM No 
Snowflake Yes 
Snowflake Cortex AI Yes 
Weaviate Yes 
voyage-3-large Yes 
voyage-4-large 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 Yes 
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 Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Weiwei Sun

Country

United States

Website

github.com/sunnweiwei/RankGPT

Vendor Details

Company Name

MongoDB

Founded

2007

Country

United States

Website

www.voyageai.com

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