FlagOpen/FlagEmbedding

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

Netease Youdao's open-source embedding and reranker models for RAG products.

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

State-of-the-Art Embeddings, Retrieval, and Reranking

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Voyage AI Official Python Library

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.