Rax: Improve Ranking Models
Rax is a library that helps you train machine learning models to rank items in a list, such as search results or product recommendations.
- •Building a search engine that needs to rank results by relevance
- •Creating a product recommendation system that suggests items based on user behavior
- •Developing a content ranking system for a news feed or social media platform
python examples/train_model.py --dataset=example_data --model=ranking_model
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rax && curl -fsSL https://workflowstacks.com/api/skills/rax/claude-skill -o ~/.claude/skills/rax/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Rax: Improve Ranking Models is a medium Python project (~8.1k lines across 33 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit a month ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2rax/__init__.pyInside rax/ — the main logic begins here
- 3examples/__init__.pyA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/rax && curl -fsSL https://workflowstacks.com/api/skills/rax/claude-skill -o ~/.claude/skills/rax/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Rank Tracker
A weekly email of where you actually rank on Google.
Includes the tested workflow and a written setup playbook. Needs: SerpAPI key (free tier).
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