RankLLM

RankLLM

Castorini
+
+

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About

Generative AI Service Cloud Infrastructure is a fully managed platform offering powerful large language models for tasks such as generation, summarization, analysis, chat, embedding, and reranking. You can access pretrained foundational models via an intuitive playground, API, or CLI, or fine-tune custom models on your own data using dedicated AI clusters isolated to your tenancy. The service includes content moderation, model controls, dedicated infrastructure, and flexible deployment endpoints. Use cases span industries and workflows; generating text for marketing or sales, building conversational agents, extracting structured data from documents, classification, semantic search, code generation, and much more. The architecture supports “text in, text out” workflows with rich formatting, and spans regions globally under Oracle’s governance- and data-sovereignty-ready cloud.

About

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise developers, data-science and AI teams requiring a solution to build, tune and deploy generative-AI-powered applications and agents

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/generative-ai/generative-ai-service/

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit

Alternatives

RankGPT

RankGPT

Weiwei Sun
ColBERT

ColBERT

Future Data Systems
Forefront

Forefront

Forefront.ai

Categories

Categories

Integrations

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

Integrations

Gemini
Gemini Enterprise
Google Cloud Platform
Llama
Mistral AI
NVIDIA TensorRT
OpenAI
Oracle Cloud Infrastructure
Oracle Database
Python
Qwen
RankGPT
Claim Oracle Generative AI Service and update features and information
Claim Oracle Generative AI Service and update features and information
Claim RankLLM and update features and information
Claim RankLLM and update features and information