RankLLMCastorini
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Related Products
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Mixpeek:
About
Company data stored in object storage as video, images, audio and documents can be difficult to search by content.
Mixpeek connects to your bucket and runs extractors over each file. A video becomes scenes, keyframes, transcripts, faces and on-screen text. A PDF becomes pages, tables and figures. Each piece is embedded and stored with its timestamps and source path.
Then you query it. Retrievers combine vector search, filters and reranking in one call. Taxonomies label files against your own categories. Clusters group what nobody has labeled yet.
It ships as an API, Python and JavaScript SDKs, an MCP server for agents, and Studio, a web app.
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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.
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Mixpeek:
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
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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
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Mixpeek:
Audience
Developers, media and ad-tech teams, and data teams that keep large video, image, audio and document archives in S3, GCS or Azure.
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RankLLM:
Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
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Mixpeek:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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RankLLM:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Mixpeek:
API
Offers API
Supported
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RankLLM:
API
Offers API
Supported
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Mixpeek:
Screenshots and Videos |
RankLLM:
Screenshots and Videos |
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Mixpeek:
Pricing
$25/month
The Build plan starts at $25 per month and includes $10 in monthly usage credits; additional usage is billed based on consumption.
Free Version
Not Supported
Free Trial
Not Supported
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RankLLM:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Mixpeek:
Reviews/
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RankLLM:
Reviews/
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Mixpeek:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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RankLLM:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Mixpeek:
Company InformationMixpeek
Founded: 2022
United States
mixpeek.com
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RankLLM:
Company InformationCastorini
Canada
github.com/castorini/rank_llm/
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Mixpeek:
Alternatives |
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Mixpeek:
Categories |
RankLLM:
Categories |
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Mixpeek:
Integrations
Amazon Bedrock
Supported
Amazon S3
Supported
Azure Blob Storage
Supported
Cloudflare R2
Supported
Fireworks AI
Supported
Gemini
Not Supported
Gemini Enterprise
Not Supported
Google Cloud Storage
Supported
Llama
Not Supported
Mistral AI
Not Supported
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RankLLM:
Integrations
Amazon Bedrock
Not Supported
Amazon S3
Not Supported
Azure Blob Storage
Not Supported
Cloudflare R2
Not Supported
Fireworks AI
Not Supported
Gemini
Supported
Gemini Enterprise
Supported
Google Cloud Storage
Not Supported
Llama
Supported
Mistral AI
Supported
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Mixpeek:
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RankLLM:
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