Information Retrieval Python Packages

rank-bm25

A Collection of BM25 Algorithms in Python

unstructured

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

gensim

Topic Modelling for Humans

simsimd

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

stringzilla

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

mteb

MTEB: Massive Text Embedding Benchmark

bm25s

Fast BM25 search in Python, powered by Numpy and Numba

haystack-ai

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

ir-datasets

Provides a common interface to many IR ranking datasets.

flagembedding

Retrieval and Retrieval-augmented LLMs

instructorembedding

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

numkong

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

pylibraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

libraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

needle-python

Needle simplifies building RAG pipelines.

colpali-engine

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

raft-dask-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

fast-plaid

High-Performance Engine for Multi-Vector Search

ranx

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

tensorflow-ranking

Learning to Rank in TensorFlow

pylate

Late Interaction Models Training & Retrieval

farm-haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.