M
mteb
embeddings-benchmark/mteb
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
★3.4kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Models project leveraging benchmark and bitext-mining, built with Python, open-source
Who made it?Maintained by embeddings-benchmark team, 3.4K⭐ on GitHub, #447 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the embeddings-benchmark team identified the need for better benchmark solutions. mteb was created to simplify bitext-mining workflows.
What can it do?Key use cases: clustering, embeddings, evaluation
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/embeddings-benchmark/mteb | 官网 https://docs.mteb.org
🔗 github.com/embeddings-benchmark/mteb | 官网 https://docs.mteb.org
Topics
benchmarkbitext-miningclusteringembeddingsevaluationinformation-retrievallow-resource-nlpmtebmultilingual-nlpmultimodalneural-searchrerankingretrievalsbertsemantic-searchsentence-transformersststext-classificationtext-embedding