MTEB: Massive Text Embedding Benchmark

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.

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

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

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

Querying local documents, powered by LLM

Rust library for generating vector embeddings, reranking locally

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

Diffusion on manifolds for image retrieval

Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

A flask-based cbir system

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

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"

An Unsupervised Distance Learning Framework for Multimedia Retrieval

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

Bag of Visual Feature with Hamming Enbedding, Reranking

Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.

rerank library for easy reranking of results

Energy-based modeling of chemical reactions