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

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

Train Models Contrastively in Pytorch

Tevatron - A flexible toolkit for neural retrieval research and development.

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

HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

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

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.

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

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

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

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

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.

[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".