Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    743 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    79 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    22 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    9 Ratings
    Company Website
  • Podium Reviews & Ratings
    2,057 Ratings
    Company Website
  • LogicalDOC Reviews & Ratings
    122 Ratings
    Company Website
  • Encompassing Visions Reviews & Ratings
    13 Ratings
    Company Website
  • Canditech Reviews & Ratings
    104 Ratings
    Company Website
  • Greatmail Reviews & Ratings
    5 Ratings
    Company Website
  • AthenaHQ Reviews & Ratings
    17 Ratings
    Company Website

What is RankLLM?

RankLLM is an advanced Python framework aimed at improving reproducibility within the realm of information retrieval research, with a specific emphasis on listwise reranking methods. The toolkit boasts a wide selection of rerankers, such as pointwise models exemplified by MonoT5, pairwise models like DuoT5, and efficient listwise models that are compatible with systems including vLLM, SGLang, or TensorRT-LLM. Additionally, it includes specialized iterations like RankGPT and RankGemini, which are proprietary listwise rerankers engineered for superior performance. The toolkit is equipped with vital components for retrieval processes, reranking activities, evaluation measures, and response analysis, facilitating smooth end-to-end workflows for users. Moreover, RankLLM's synergy with Pyserini enhances retrieval efficiency and guarantees integrated evaluation for intricate multi-stage pipelines, making the research process more cohesive. It also features a dedicated module designed for thorough analysis of input prompts and LLM outputs, addressing reliability challenges that can arise with LLM APIs and the variable behavior of Mixture-of-Experts (MoE) models. The versatility of RankLLM is further highlighted by its support for various backends, including SGLang and TensorRT-LLM, ensuring it works seamlessly with a broad spectrum of LLMs, which makes it an adaptable option for researchers in this domain. This adaptability empowers researchers to explore diverse model setups and strategies, ultimately pushing the boundaries of what information retrieval systems can achieve while encouraging innovative solutions to emerging challenges.

What is Oracle Generative AI Service?

The Generative AI Service Cloud Infrastructure serves as a comprehensive, fully managed platform that features robust large language models, enabling a wide range of functions such as text generation, summarization, analysis, chatting, embedding, and reranking. Users benefit from convenient access to pretrained foundational models via a user-friendly playground, API, or CLI, while also being able to fine-tune custom models utilizing dedicated AI clusters that are unique to their tenancy. This service includes essential features like content moderation, model controls, dedicated infrastructure, and various deployment endpoints to cater to diverse requirements. Its applications are extensive, supporting multiple industries and workflows by generating text for marketing initiatives, developing conversational agents, extracting structured data from a variety of documents, executing classification tasks, facilitating semantic search, and enabling code generation, among others. The architecture is specifically designed to support "text in, text out" workflows with advanced formatting options and operates seamlessly across global regions while upholding Oracle’s governance and data sovereignty standards. In addition, organizations can harness this powerful infrastructure to foster innovation and enhance their operational efficiency, ultimately driving growth and success in their respective markets.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Google Cloud Platform
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Oracle Cloud Infrastructure
Oracle Database
Python
Qwen
RankGPT

Integrations Supported

Gemini
Gemini Enterprise
Google Cloud Platform
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Oracle Cloud Infrastructure
Oracle Database
Python
Qwen
RankGPT

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Castorini

Company Location

Canada

Company Website

github.com/castorini/rank_llm/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/artificial-intelligence/generative-ai/generative-ai-service/

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Popular Alternatives

RankGPT Reviews & Ratings

RankGPT

Weiwei Sun

Popular Alternatives

Forefront Reviews & Ratings

Forefront

Forefront.ai
ColBERT Reviews & Ratings

ColBERT

Future Data Systems
FPT AI Factory Reviews & Ratings

FPT AI Factory

FPT Cloud