RankLLM

RankLLM

Castorini
+
+

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About

BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists and AI researchers looking for a tool to develop sophisticated retrieval systems, offering tools for embedding, reranking, and fine-tuning to enhance search and RAG applications

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

BGE
Founded: 2025
United States
bge-model.com/Introduction/index.html

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

Alternatives

RankGPT

RankGPT

Weiwei Sun
ColBERT

ColBERT

Future Data Systems
Voyage AI

Voyage AI

MongoDB
Azure AI Search

Azure AI Search

Microsoft

Categories

Categories

Reranking Models Supported

Integrations

Baseten Supported
Gemini Not Supported
Gemini Enterprise Not Supported
Hugging Face Supported
Llama Not Supported
Mistral AI Not Supported
NVIDIA TensorRT Not Supported
Nebius Token Factory Supported
OpenAI Not Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported

Integrations

Baseten Not Supported
Gemini Supported
Gemini Enterprise Supported
Hugging Face Not Supported
Llama Supported
Mistral AI Supported
NVIDIA TensorRT Supported
Nebius Token Factory Not Supported
OpenAI Supported
Python Supported
Qwen Supported
RankGPT Supported
Claim BGE and update features and information
Claim BGE and update features and information
Claim RankLLM and update features and information
Claim RankLLM and update features and information