noperator/siftrank

Use LLMs for document ranking

Document Ranking with Large Language Models.

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

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.

🔥 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.

Official Jina AI Remote MCP Server

All Jina AI APIs as Unix CLI commands. Search, read, embed, rerank - with pipes.

A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.