A
AnglE
SeanLee97/AnglE
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
★573stars
Python
MIT
Updated: 1mo ago
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on dense-retrieval and embeddings
Who made it?Maintained by SeanLee97 team, 573⭐ on GitHub, #1678 out of 3201 in Models
Why does it exist?The SeanLee97 team recognized that existing dense-retrieval tools in Models were hard to use. AnglE was designed to make embeddings more accessible.
What can it do?Key use cases: information-retrieval, llama, llama2
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/SeanLee97/AnglE | 官网 https://arxiv.org/abs/2309.12871
🔗 github.com/SeanLee97/AnglE | 官网 https://arxiv.org/abs/2309.12871
Topics
dense-retrievalembeddingsinformation-retrievalllamallama2llmmtebragretrieval-augmented-generationsemantic-similaritysemantic-textual-similaritysentence-embeddingsentence-embeddingssentence-vectorstsstsbenchmarktext-embeddingtext-similaritytext-vectortext2vec