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.

fastretrieval

Fast multi-model retrieval runtime: ONNX and GGUF embeddings, reranking, and a declarative model contract

haiku-rag-slim

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

haiku-rag

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

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.

mxbai-rerank

Crispy reranking models by Mixedbread

vaultspec-rag

Search code and feature records by meaning through the command line or Model Context Protocol (MCP). Inference runs on your GPU.

jev-judge-mcp

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.

lateweave

Composable candidate generation and optional late-interaction (MaxSim) reranking, in Rust with Python bindings

vera-ai

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

raglite

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

qwen3-embed

Lightweight Qwen3 text embedding and reranking via ONNX Runtime and GGUF

recall-rag

Memory that abstains instead of guessing: agent memory on your own Postgres with a verdict, confidence and provenance on every hit, and a calibrated refusal when nothing clears the threshold.

byaldi

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

rankops

Rank fusion and reranking

mixedbread-ai

mixedbread ai python sdk

ingestlib

Self-hosted document intelligence for RAG — parse, classify, split, and extract from PDF/DOCX/PPTX and images: searchable, cited, retrieval-ready chunks and schema-driven extraction

tencent-weknora-mcp

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

toolhunch

Your agent has too many tools. Hybrid search + a fast decision model (Jev, Laya) or an LLM pick the right one, or say "none". Pydantic AI integration and a ToolRet benchmark.

chunkrank

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

symrank

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

langchain-localai

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

rag-jev

Make room for useful evidence. Inspectable context selection for RAG, with Jev reranking and open benchmark studies.