BishopFox/raink

Document Ranking with Large Language Models.

Use LLMs to find the needles in your haystack

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

AI agent autonomously optimizing RAG retrieval pipelines against your own documents

A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.

RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker

Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.

Skills for AI Evals to compliment the course: AI Evals For Engineers & PMs