RankLLM

RankLLM

Castorini
troveGEN

troveGEN

Intellara Technologies
RankLLM troveGEN

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RankLLM:

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.
troveGEN:

About

troveGEN is a retrieval-augmented generation (RAG) and document-search platform for teams building AI products and organizations that need governed access to internal information. It ingests files, scanned documents, web pages and connected sources, then parses, OCRs, chunks, indexes and retrieves relevant passages with hybrid search, reranking, filters and access controls. Applications and AI agents can use its REST API, TypeScript SDK or Model Context Protocol server to search content and receive source-linked results; optional answer generation supports cited responses. Customers can use managed hosting or connect their own vector database, models and content sources, including air-gapped deployments. Use cases include internal knowledge search, customer support, technical documentation, and document workflows across finance, healthcare, legal and government.
RankLLM:

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
troveGEN:

Platforms Supported

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

Audience

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

Audience

AI product developers and organizations that need searchable, governed access to unstructured documents and knowledge, including engineering, HR, legal, healthcare, and financial-services teams.
RankLLM:

Support

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

Support

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

API

Offers API Supported
troveGEN:

API

Offers API Supported
RankLLM:

Screenshots and Videos

troveGEN:

Screenshots and Videos

No images available
RankLLM:

Pricing

Free
Free Version Supported
Free Trial Not Supported
troveGEN:

Pricing

$25/month
troveGEN-Z Launch costs $25/month and includes 1,500 pages, 8,000 searches, 1,500 answers, and two projects. Annual billing costs 10 times the monthly price. The one-time free trial includes 500 pages, 2,000 searches, and 200 answers. Sovereign deployments are quoted.
Free Version Not Supported
Free Trial Supported
RankLLM:

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
troveGEN:

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
RankLLM:

Training

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

Training

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

Company Information

Castorini
Canada
github.com/castorini/rank_llm/
troveGEN:

Company Information

Intellara Technologies
Founded: 2025
India
troveGEN.com
RankLLM:

Alternatives

RankGPT

RankGPT

Weiwei Sun
troveGEN:

Alternatives

Cohere Compass

Cohere Compass

Cohere AI
RankLLM:
ColBERT

ColBERT

Future Data Systems
troveGEN:
RankLLM:
troveGEN:
RankLLM:
troveGEN:
RankLLM:
troveGEN:
Azure AI Search

Azure AI Search

Microsoft
RankLLM:

Categories

Reranking Models Supported
troveGEN:

Categories

RankLLM:

Integrations

OpenAI Supported
Amazon S3 Not Supported
Azure Blob Storage Not Supported
Cohere Not Supported
Gemini Supported
Gemini Enterprise Supported
Google Drive Not Supported
Llama Supported
Microsoft SharePoint Not Supported
Mistral AI Supported
Model Context Protocol (MCP) Not Supported
NVIDIA TensorRT Supported
Pinecone Not Supported
Python Supported
Qdrant Not Supported
Qwen Supported
RankGPT Supported
pgvector Not Supported
troveGEN:

Integrations

OpenAI Supported
Amazon S3 Supported
Azure Blob Storage Supported
Cohere Supported
Gemini Not Supported
Gemini Enterprise Not Supported
Google Drive Supported
Llama Not Supported
Microsoft SharePoint Supported
Mistral AI Not Supported
Model Context Protocol (MCP) Supported
NVIDIA TensorRT Not Supported
Pinecone Supported
Python Not Supported
Qdrant Supported
Qwen Not Supported
RankGPT Not Supported
pgvector Supported
RankLLM:
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Claim RankLLM and update features and information
troveGEN:
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Claim troveGEN and update features and information