Reranking Python Packages

mteb

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

flashrank

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

qwen3-embed

Lightweight Qwen3 text embedding and reranking via ONNX Runtime and GGUF

mxbai-rerank

Crispy reranking models by Mixedbread

vaultspec-rag

GPU-accelerated semantic search for your docs and source code - hybrid dense + sparse RAG on a local Qdrant backend, served to Claude Code and other MCP clients. The search companion to vaultspec-core.

knowledge-rag

Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.

mixedbread-ai

mixedbread ai python sdk

zettabrain-rag

Private AI document assistant — chat with your documents using a fully local RAG pipeline. No API keys, no cloud, no data leaving your machine.

byaldi

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

vera-ai

Bootstrap installer and wrapper for the Vera CLI

rankops

Python bindings for rankops (Rust) — fusion and reranking for hybrid search.

mcpaisuite-memorymcp

Persistent, tiered cognitive memory for AI agents, with optional cross-encoder reranking. Python lib · CLI · MCP server · FastAPI.

raglite

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

symrank

🐍📦 High-performance cosine similarity ranking for Retrieval-Augmented Generation (RAG) pipelines.

labelbank

Retrieve + rerank over a closed label bank: LLM bi-encoders with self-mined hard negatives and a generative listwise reranker

pyllmsearch

Querying local documents, powered by LLM

rankify

A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

langchain-localai

Langchain integration package with LocalAI. It provides embeddings and reranker support

chunkrank

Model-aware text chunking and answer re-ranking for LLM pipelines. Python 3.10+, async-first, 54 models.

lemonade-python-sdk

A production-grade Python SDK for the Lemonade LLM backend. Featuring auto-discovery, port scanning, and a low-overhead client architecture. Powering the Sorana AI workspace.

ranksmith

A fast-fail Python package for LLM-based document reranking with Azure OpenAI, RankGPT, PRP, Setwise Heapsort, TourRank-r, and AcuRank.

rankflow

Visualize and evaluate rank evolution across retrieval steps - rankflow plots, retrieval metrics, and pipeline comparison for RAG.

hitgate

Portable hybrid (BM25 + dense + RRF) retrieval engine and a label-free evaluation harness — extracted from a personal AI-assistant memory index and decoupled to run on any source tree.

langformers

🚀 Unified NLP Pipelines for Language Models