MinishLab/model2vec

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

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

A blazing fast inference solution for text embeddings models

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

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

Efficient few-shot learning with Sentence Transformers

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Retrieval and Retrieval-augmented LLMs