netease-youdao/BCEmbedding

Retrieval and Retrieval-augmented LLMs

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

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.

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

A series of large language models trained from scratch by developers @01-ai

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

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

DeepSeek LLM: Let there be answers

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