SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Train Models Contrastively in Pytorch

🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

EMNLP 2021 - Pre-training architectures for dense retrieval

A Python Search Engine for Humans 🥸

[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

Train Dense Passage Retriever (DPR) with a single GPU

Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval

WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.

Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.

Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset

CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.