All-in-One: Text Embedding, Retrieval, Rerank and RAG
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Updated
Jun 6, 2024 - Python
All-in-One: Text Embedding, Retrieval, Rerank and RAG
Train Models Contrastively in Pytorch
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
Tevatron - A flexible toolkit for neural retrieval research and development.
A tailored Chatbot to reduce hallucinations and improve factuality.
Dense Bi-Encoder Retrieval for Rapid Experimentation
Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
A Python Search Engine for Humans 🥸
Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
efficient query encoding for dense retrieval
Experimental code for our paper on informative and diverse sampling of negative examples for dense retrieval
SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset
Wikipedia Semantic Search w/ Embeddings
[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".
🔗 A graph-augmented dense statute retriever. (EACL 2023)
[ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval".
Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)
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